Leyte Normal University

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Singapore

FACULTY OPENING FOR NURSING AT 色盒直播 SINGAPORE INSTITUTE OF TECHNOLOGY

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society.

The university’s unique pedagogy integrates clinical practice education and academic endeavour, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with clinical impact is aimed at helping the healthcare and social services sector innovate and grow.

SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges.

As a young university, we encourage innovation and seek the right candidates?to join?us in realising?our vision. We offer competitive remuneration,?generous employment benefits,?access to?funding?to undertake research of relevance to industry,?and opportunities to?inspire?and nurture?the next generation of skilled and work-ready graduates.?We currently have positions available at all levels, from Lecturer to Full Professor, for the discipline-?Nursing?in the Health and Social Sciences Cluster.

Applicants should possess:


	an earned PhD in Nursing from a reputable university,
	a nursing practitioner license,
	extensive experience in:
	
		teaching nursing courses to students or professionals
		research work in the field of healthcare, particularly in nursing
		publication in nursing services and/or clinical research.?
	
	


The appointee will be expected to undertake funded clinical-relevant research and teach courses in healthcare and nursing.

Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below. Please contact the HSS Cluster Director, Associate Professor Tan Bhing Leet via HR_Faculty@singaporetech.edu.sg if you have any enquiries relating to these opportunities.?


Singapore Institute of Technology (SIT)

New Zealand, Auckland

Job Description


	Seeking a truly collaborative leader in brain research who will engage research, clinical and related communities in a vision for developing a better understanding of the human brain and for improving outcomes for those affected by brain disorders.
	Live and work in New Zealand’s largest, most cosmopolitan and culturally diverse city.


The University of Auckland, Waipapa Taumata Rau, has ambitious and transformative goals to deliver top quality research and impact both locally in the Pacific region and globally.

Join us in the substantive academic position of David Levene Foundation Chair in Brain Research, and apply your leadership to ensure the next horizon of success of the Centre for Brain Research Te Huinga Hinengaro (CBR). The director (appointed on an initial 5-year term) will build on CBR’s success in developing a strong and diverse community of neuroscience scholars who seeking to understand the human brain and to develop and translate therapies and other treatments for those affected by brain disorders.

CBR is one of seven transdisciplinary University Research Centres spanning multiple faculties, disciplines and academic activities and engaged in research with the community.

Established 15 years ago, effective relationships are at the heart of its reputation as a leader in translational brain research, as demonstrated by the philanthropic and community support it values dearly.

Members of the CBR are engaged in internationally recognised research ranging from basic and laboratory science to clinical research and the promotion of population health and research that works with and through engagement with communities, particularly Māori and Pacific communities. Creating stronger ties among scientists, engineers, clinicians, potential industry partners and the community, whilst training the next generation of leaders in the field will be central to the Director’s aspriations for the CBR.

Learn more about CBR’s cutting edge research and world-class facilities, and review the position description?here.

For further information and a confidential conversation, please contact Clare Litten, Manager, Academic Executive Search Service,?c.litten@auckland.ac.nz

Applications must be submitted online, by the closing date of 9 March 2025

Additional Information

Equity

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment.? For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to?www.equity.auckland.ac.nz

The University is committed to providing a safe, inclusive, and equitable environment where everyone can thrive. For further information see Te Ara Tautika | the Equity Policy and visit?www.equity.auckland.ac.nz


The University of Auckland

United Kingdom, Glasgow

Salary range: ?23,160-?23,581 plus 5% shift allowance
FTE: 1.0 (35 hours per week)
Term: Open
Closing date: 12 January 2025

The University of Strathclyde is looking to appoint a Facilities Assistant to support our conferencing and events activity within the Technology & Innovation Centre (TIC). The Technology & Innovation Centre (TIC) is the University’s flagship research facility, opened by HM The Queen in July 2015. TIC is home to ?11m of dedicated, flexible conferencing facilities, and has quickly established itself as one the country’s most popular venues for business events and academic meetings, hosting more than 600 events and 46,000 delegates in academic year 2023/24 alone. The venue won the Bronze award for UK Best Academic Venue at the Meetings & Incentive Travel awards magazine in March 2019; was named Best Academic Venue at the CHS Awards in June 2019; Best Scottish Venue & Events Team at the E Awards in 2023 and is a proud holder of Green Tourism Gold accreditation.

Working across the Conferencing & Events and TIC Operations teams, the Facilities Assistant will be central to day-to-day operations. The successful candidate should have experience of working in a similar environment, such as a conference centre, banqueting suite, hotel or performance venue. The role will involve:


	setting up and turning around rooms and foyer spaces to the layout required by clients
	storing equipment and furniture securely and appropriately when not in use
	receipt, delivery and safe handling of all materials relating to conferences and events taking place in the facility
	?supporting the movement of goods and furniture throughout the building
	assistance with wayfinding in the building and giving information on general use of the facilities
	ensuring that conferencing and event spaces are kept are well-maintained, tidy and presentable at all times, befitting to a five-star conference venue
	weekly fire safety and first aid checks for all conferencing and event space


As well as experience of providing a customer-focused support service, the successful candidate will have existing knowledge and a keen awareness of the importance and day-to-day application of key health and safety and manual handling procedures. This post will involve a high volume of manual handling on a daily basis, and the successful candidate will ideally hold a valid manual handling certificate and be able to contribute to the ongoing and consistent application and development of our safe working practices and standard operating procedures.

The post-holder will be required to work 35 hours per week, 5 days over 7. Shift patterns will depend on the needs of the business but will regularly include hours outside the normal working week, i.e. early mornings, evenings and weekends, throughout the year. A 5% premium will be added to the salary of the successful candidate to reflect this non-standard working pattern.

This post will be key to the delivery of a high level of customer service in TIC, and will require an individual interested in working with a wide range of people, problem solving and willing to be flexible in their approach to the work.

Interviews are scheduled to take place on 23 January 2025,

For informal enquiries, please contact Nicola Hyne, Conference Operations Manager at nicola.hyne@strath.ac.u

Click here for full details


University of Strathclyde

Finland

Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with the Finnish Center for Artificial Intelligence (FCAI), the Centre for AI Fundamentals at the University of Manchester, the Alan Turing Institute, ELLIS and the new ELLIS Institute Finland, and researchers from other fields.

Prof Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of Finnish Center for Artificial Intelligence and ELLIS Unit Helsinki. His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other topics below).

Topics

Machine learning foundations

Keywords: probabilistic modelling, Bayesian inference, simulation-based / likelihood-free inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, privacy-preserving learning, Bayesian deep learning, generative models

We are looking for a new postdoc in the team which develops probabilistic modelling and Bayesian inference methods. The team has several exciting new machine learning formulations we work on, and opportunities for applying the methods with top-notch collaborators. The core is always development of new methods, and with this call we are looking for talented researchers with background in machine learning, stats or CS (or other directly relevant topics) who are keen on developing the new methods. In the cover letter, let us know what you are interested in - if we are already working on it, all the better, but we are willing to listen to new ideas too.

Machine learning for synthetic biology and biodesign

Keywords: AI-based design, human-in-the-loop machine learning, collaborative AI, molecular modeling, graph neural networks, deep learning algorithms, generative models

We are searching for early career scientists to join our research team working towards next-generation machine learning methods for synthetic biology. The positions are available in two large multi-year projects (BIODESIGN and BIOFOUNDRY) focused on establishing virtual laboratories for protein engineering and biomanufacturing, implemented in collaboration between FCAI and VTT Technical Research Centre of Finland, and NSF Global Center on biofoundries. The aim of the projects is to design novel AI-based tools for bioengineering. These tools will combine cutting edge machine learning techniques, such as graph neural networks, deep generative models, Bayesian optimization, and human-in-the-loop learning with the synthetic biology expertise of VTT. The virtual laboratories are envisioned to have a wide range of applications in industry (e.g., new biochemicals, biomaterials and drugs), and to help the transition to a carbon-neutral society.

Applicants should have a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: AI-based design, Deep learning algorithms, Generative models, Human-in-the-loop machine learning, Collaborative AI, Molecular modeling, Reinforcement learning, Structured prediction.

The successful applicants will join a world-class research team with top AI researchers from FCAI and synthetic biology experts from VTT.

Real-time AI-assistance with computationally rational user models

Keywords: collaborative AI, human-in-the-loop ML/RL, reinforcement learning, user modelling

Despite recent advances in AI and machine learning, there are few AI solutions that can be applied when we cannot precisely specify the objective or do not have suitable data to learn from. This is particularly salient and challenging in ad hoc assistance for human users in complex tasks such as scientific discovery.?

This project aims to address this issue by learning these objectives, and to assist, directly from interaction with the users. To do so, we develop reinforcement learning techniques for AI-assistants and computationally rational user models that take into account factors such as cognitive biases to reason about human decision-making. We push state-of-the-art in AI that, through inference over - and planning with - such user models, is able to tackle problems that are otherwise out of reach of mainstream AI solutions.?

Supported by a High-performance computing grant from the Research Council of Finland, we are looking to strengthen this team with postdocs with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the fields listed under this topic is beneficial.

Team: this project will be carried out with a top expert on computational rationality, Prof. Andrew Howes of University of Exeter,? and experts in application domains.

Next generation distribution shifts

Keywords: distribution shift, out-of-distribution generalization, robust deployment, deep learning, experimental design

Robust algorithms for machine learning models are vital as the deployed scenario can differ from the training scenario in unexpected ways. Placing assumptions on the kind of distribution shift we expect, such as covariate or label shift, and accounting for it during training is common practice. However, these assumptions are often too restrictive for real-world settings, as the shifts encountered are typically more complex. Moreover, it is difficult to know a priori which shifts we need to account for. This project focuses on developing novel machine learning methods? that demonstrate robust performance by adapting to unforeseen shifts and diverse datasets during deployment.

We are looking for applicants with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: distribution shift, out-of-distribution generalization, out-of-domain generalization, sequential experimental design.

Your experience and ambitions

We expect the candidates to hold or be close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning.

Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary.

What we offer

We provide

RESEARCH ENVIRONMENT

You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and our new ELLIS Institute Finland, Centre for AI Fundamentals of the University of Manchester, the Turing Institute, and a number of excellent researchers in other fields in our applications.?

JOB DETAILS

Postdoc positions are typically made for up to three years. Starting dates are flexible. All positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically increased as the experience grows. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.

Ready to apply?

Submit your application through our recruitment system Workday by the link below. The deadline for applications is? February 2 2025 at 23:59 Finnish time, 2024.

Required attachments


	Cover letter (1–2 pages).?
	CV
	List of publications (please do not attach full copies of publications)
	A transcript of doctoral study
	The degree certificate of your latest degree. If you don’t yet have a PhD degree, a plan of completion must be submitted.
	Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.


All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Please note: Aalto University’s employees should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account.

Contacts: Coordinator Fang Wang (fang.wang@aalto.fi)

More Information

We are part of Finnish Centre for Artificial Intelligence FCAI and ELLIS Unit Helsinki. More information on their pages, and the frequently asked questions on this page. ?

Aalto University (53rd in the Times Higher Education 色盒直播 ranking list of most international universities in the world) is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 12 000 students and a staff of more than 4000, of which 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the largest computer science unit in Finland. Computer science research at Aalto University ranks high in several prominent surveys (47th worldwide and 9th in Europe in Shanghai subject ranking 2019; and 56th worldwide in Times Higher Education subject ranking 2020).

About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland

More info:

twitter.com/fcai_fi
linkedin.com/company/fcai
youtube.com/channel/UC7nUhposDgxzDOKns_H5J0w
Newsletter: http://eepurl.com/gVPBpf

Aalto.fi?

twitter.com/aaltouniversity?
facebook.com/aaltouniversity
instagram.com/aaltouniversity

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


Aalto University

United Kingdom, Newcastle upon Tyne

ABOUT 色盒直播 ROLE

This is an exciting opportunity to apply your expertise to lead an innovative project focused on developing advanced solutions for textile wastewater treatment, contributing to sustainable practices and fostering collaboration between Pakistan and the UK.

This role is part of a collaborative initiative between leading academic institutions and industry partners from both countries, where you will work closely with stakeholders to ensure the project's success.

The project aims to address the pressing challenge of wastewater management in the textile industry by developing innovative treatment technologies. It emphasizes sustainability and scalability, with potential applications across diverse industrial sectors. As the Postdoctoral Research Fellow, you will be at the forefront of this effort, driving the research, development, and implementation of cutting-edge solutions.

This role provides a unique opportunity to contribute to a high-impact project that bridges academia and industry while addressing critical environmental challenges in one of the world’s largest industrial sectors.

This role is fixed term for?15 months.

ABOUT 色盒直播 TEAM

Find out more about Mechanical Engineering at Northumbria University: https://www.northumbria.ac.uk/about-us/academic-departments/mechanical-and-construction-engineering/research/

ABOUT YOU

Further information about the requirements of the role is available in the?person specification.

Please contact project lead Dr. Muhammad Wakil Shahzad (muhammad.w.shahzad@northumbria.ac.uk) for additional information and an informal phone conversation.

To apply for this vacancy please click 'Apply Now'. Your application should include a covering letter, CV and relevant experience detail including publications list.

ABOUT US

Northumbria University is a research-intensive university that unlocks potential for all.? We change lives regionally, nationally, and internationally through education and research, tackling the global challenges of our age to transform society and the economy. Find out why we were named?Times Higher Education’s University of the Year in 2022?and?Modern University of the Year?in The Times and Sunday Times Good University Guide 2025.

Northumbria recorded the biggest rise of any UK university for research power in the Research Excellence Framework for the second time in 2021 and is now ranked top 25 in the UK for this measure.

One of the largest universities in the UK with over 37,000 students from more than 140 countries, filled with world-leading research, award-winning partnerships, and students at the heart of an outstanding experience. Discover more?about us.

Northumbria University is a great place to work.? We empower our exceptional people to achieve shared ambitions and promote a positive work life balance. We offer a wide range of benefits including excellent pension schemes, flexible working, a generous holiday entitlement, continued commitment to your learning and development and?more.

Our Northumbria Values are guiding principles that define who we are, what we do and what is important to us. Our Values are:?Academic Excellence;?Innovation;?Inclusivity;?Collaboration; and?Ambition.

Our Behaviours describe how we do things and how we work together at Northumbria, reflecting our culture and our decision-making. Our Behaviours are:?We listen and learn, we support one another to success, we respect everyone and their contributions, we trust in ourselves and each other?and?we are bold.

Our Values and Behaviours were co-created by colleagues from a range of roles across the University, who worked collaboratively to consider what it feels like to work for Northumbria, and where we need to continue to transform together to achieve what’s important to us.

Please visit?Our Values and Behaviours?page to find out more.

We are an on-campus organisation where colleagues work regular patterns of hours and on campus, with some flexibility on the timing of their hours and the location of their work in discussion with their manager. Our campus locations include our City and Coach Lane Campuses in Newcastle upon Tyne and our London campus.

Northumbria University is committed to creating an inclusive culture where we take pride in, and value, the diversity of our staff.? We encourage and welcome applications from all members of the community. The University holds bronze Athena Swan and Race Equality Charter awards in recognition of our commitment to advancing gender and race equality, we are a Disability Confident Leader and are participating in the Stonewall Diversity Champion Programme. We also hold the HR Excellence in Research award for implementing the concordat supporting the career Development of Researchers and are members of the Euraxess initiative to deliver information and support to professional researchers. The University has implemented a range of flexible working arrangements, and we are happy to explore candidate requirements as part of the recruitment process.

We are committed to keeping your data safe so it's important for you to know how we use any personal data you give us. For more detailed information, access our?Privacy Policy.


色盒直播

Leyte Normal University

About

Impact Rankings

Impact Rankings 2024801-1000^th

No Poverty 2024401-600^th

Quality Education 2024801-1000^th

Gender Equality 2024101-200^th

Decent Work and Economic Growth 2024401-600^th

Reduced Inequalities 2024601-800^th

Partnership for the Goals 20241001-1500^th

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色盒直播

Leyte Normal University

About

Impact Rankings

.css-1lk1zhk{display:block;-webkit-box-flex:1;-webkit-flex-grow:1;-ms-flex-positive:1;flex-grow:1;}Impact Rankings 2024.css-4ju6x1{display:block;font-size:1.25rem;line-height:1.375;font-weight:600;color:#595959;}.css-4ju6x1>sup{font-size:65%;display:inline-block;width:0;word-wrap:normal;}801-1000th

No Poverty 2024401-600th

Quality Education 2024801-1000th

Gender Equality 2024101-200th

Decent Work and Economic Growth 2024401-600th

Reduced Inequalities 2024601-800th

Partnership for the Goals 20241001-1500th

Discover similar universities

Impact Rankings 2024801-1000^th

No Poverty 2024401-600^th

Quality Education 2024801-1000^th

Gender Equality 2024101-200^th

Decent Work and Economic Growth 2024401-600^th

Reduced Inequalities 2024601-800^th

Partnership for the Goals 20241001-1500^th