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<b>https</b>://www.timeshighereducation.com/unijobs/listing/414535/assistant-professor… Requirements Additional Information Work Location(s) Number of offers available 1 Company/Institute <b>DURHAM</b> <b>UNIVERSITY</b> Country United Kingdom City <b>Durham</b>, United Kingdom Contact City...
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Assistant Professor (Research & Education), Department of Psychology Employer DURHAM UNIVERSITY Location Durham, United Kingdom Salary £47,389 - £56,535 per annum Closing date 31 Aug 2026 View more
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signatures Experience applying computational and machine learning approaches to biological data Strong communication skills and ability to collaborate in a team-oriented environment Be Bold. About the
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affiliations. Be You. Be Bold. Choose Duke. Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Machine Learning Research Data Analyst
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of computational biology, machine learning, and tissue biology. In this role, you will work closely with Dr. Yi Zhang and collaborators to develop and apply computational methods for analyzing
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in healthcare research. In this role, you'll help architect scalable systems and high-throughput pipelines that support advanced machine learning, reinforcement learning, and foundation model research
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LUDWIG MAXIMILIANS UNIVERSITAET MUENCHEN | State College, Pennsylvania | United States | about 1 month ago
. The teaching load is two semester hours per week (2 SWS). Participation is expected in the EMOS program, the Munich School for Data Science (MUDS), and the Munich Center for Machine Learning (MCML
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Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research sits at the
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Week : 35 Closing Date : 30-Aug-2026, 10:59:00 PM Disclosure and Barring Service Requirement : Not Applicable. Working at Durham University A globally outstanding centre of teaching
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analysis Familiarity with multi-omics data integration Experience applying machine learning or statistical modeling to biological datasets Experience working in cancer biology or related biomedical fields