378 programming-"Multiple"-"U"-"Prof"-"FEMTO-ST-institute"-"St"-"UCL" Fellowship positions
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. Complement experimental work with system-level modeling and simulation to bridge cell-level insights with broader system performance. Plan and conduct experiments using national and European research
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are now recruiting 2 full time Research Fellows to work with Stephen
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to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999 call handlers, drone operators, public contributors, and
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-erklæringen var sist oppdatert 11.11.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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, 2025), Science Immunology (2023, 2024), Molecular Cell (2025), Cancer Discovery (2019), JEM, PNAS, and Trends in Immunology. Dr. Ma’s research has been recognized with multiple national and institutional
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$65,000 annually second year ABOUT THE JOB MU Health Care is looking for a driven, curious, and visionary early-career leader to join our dynamic Administrative Fellowship Program. Ideal candidates are bold
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ability to work in the field in aquatic/terrestrial environments. This can include working multiple days in the field Ability to work autonomously whilst displaying a strong commitment to work in a team
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Research Fellowship (PRF) for PhD CS Program Location Rio Grande Valley, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Computer Science
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. Designs and implements training activities as required. Develops and implements an evaluation plan and prepares progress reports as needed. Prepare manuscripts and assist with grant and proposal submissions
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learning and data management in agricultural research. The participant will have the opportunity to collaborate with multiple USDA ARS scientists on using machine learning approaches, develop an expertise in