488 computer-programmer-"https:"-"FEMTO-ST"-"U" "https:" "https:" "https:" "https:" "https:" "Dr" "P" Postdoctoral positions in United Kingdom
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cancer. This project will explore the role of tumour-associated macrophages (TAMs) in determining therapeutic responses to immunotherapy, with a focus on tumour immunity. The project is led by Dr Keaton
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on Digesting Science, co-designing a schools programme with drama practitioners, teachers, children and families affected by Multiple Sclerosis, developing and testing participatory activities, prototypes and
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of this instrument ongoing, we make critical contributions to silicon sensor quality control, the initial steps of module assembly, thermal quality control of local supports. The group is led by Dr Seth Zenz, and
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possess sufficient specialist knowledge in the discipline to work within established research programmes. They will also be expected to manage their own academic research and associated activities and have
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PhD/DPhil, together with relevant experience and will possess sufficient specialist knowledge in the discipline to work within established research programmes. They will also be expected to manage their
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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning
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is offered at the Deparment of Marketing and International Business (under the direction of Univ. Prof. Dr. Emmanuella Plakoyiannaki), Faculty of Business, Economics and Statistics at the University
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with relevant experience and will possess sufficient specialist knowledge in the discipline to work within established research programmes. They will also be expected to manage their own academic research and
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knowledge in the discipline to work within established research programmes. They will also be expected to manage their own academic research and associated activities and have previous experience
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programme focused on applying AI‑driven analysis to in situ advanced microscopy of fibre‑based materials. The project aims to develop and deploy machine learning tools that extract real‑time structural and