323 computer-programmer-"Multiple"-"Prof"-"U"-"FEMTO-ST-institute" "O.P" Postdoctoral positions in United Kingdom
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- Xi'an Jiaotong - Liverpool University
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and of research methods and techniques to work within established research programmes be able to assist in a range of tasks included literature review, document analysis, corpus analysis, questionnaire
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39 Faculty of Computer Science Startdate: 07.09.2025 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 07.07.2026 Reference no.: 4408 The position
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. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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conferences. Excellent verbal communication skills and the ability to deal with a wide range of people and different seniority. Ability to plan work towards specified deadlines and deliver on time. What we can
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” (PAAM) in the department of Engineering, Computing and Mathematics (ECM) at Oxford Brookes University, Oxford, U.K. The position, funded by the Engineering and Physical Sciences Research Council (EPSRC
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services (ECO-WADE).¿ You will plan, organise and lead fieldwork on an upland blanket bog in North Wales, and make measurements of greenhouse gas fluxes, water table depths, and water chemistry. This is part
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. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a supercomputer shared by Austria's major universities. We focus on the development of methods to solve the many
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of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse single-cell modalities, focusing on gene
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research initiative funded by ARIA, titled Aggregating Safety Preferences for AI Systems: A Social Choice Approach. The project operates at the interface of AI safety and computational social choice, and