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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
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Twins Apply for this job See advertisement About the position Position as PhD Research Fellow in formal methods for data protection in digital twins is available at the Department of Informatics. Starting
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Job id: 121425. Salary: £53,149 to £57,566 per annum, including London Weighting Allowance. Posted: 30 July 2025. Closing date: 20 August 2025. Business unit: Faculty of Life Sciences & Medicine
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economics Develop state-of-the-art algorithms in algorithmic game theory and fair division Design and conduct experiments to evaluate the algorithm performance Job Requirements: PhD degree in computer science
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Sciences at the Usher Institute within The University of Edinburgh has an excellent opportunity for a Clinical Research Fellowship to undertake independent research studies and a PhD. The Opportunity: This
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projects that leverage our optical expertise to probe brain function Preferred Qualifications & Expertise: PhD in neuroscience, bioengineering, computational biology, or related field At least one strong
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 8 days ago
of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds
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opportunity to play a central role in shaping scientific understanding—and policy decisions—on one of the most controversial and high-stakes topics in climate science. Grade F: You will have a PhD (or
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machine learning conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with strong initiatives. Good
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About Us The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in