349 computational-physics-"https:"-"https:"-"https:"-"https:"-"NOVA.id" Postdoctoral positions in United Kingdom
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Assessment (HTA) Programme. This post will be based in the Department of Primary Care and Mental Health within the Global Mental Health Research Group and the Liverpool Review and Implementation Group (LRIG
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such as computational social science, computer science, or cognitive science. They will have a demonstrable track record in studying humans and machine learning models, in the context of human social
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Associate in Biochemistry to join an ambitious research programme focused on the development of new treatments for tuberculosis. This position forms part of the recently funded Oxford TB Grand Challenge
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Associate to join a multidisciplinary programme focused on tackling antimicrobial resistance. The position is based at the INEOS Oxford Institute for AMR Research and sits within the Schofield Group, under
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helpline. We prioritise the wellbeing of our employees - physically, mentally and financially - and we provide a diverse and comprehensive benefits package to support our team. In addition, all employees
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, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding experience with producing high-quality
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to the ‘Biological Nitrogen Fixation’ program. This initiative seeks to engineer biological nitrogen fixation into widely grown crop plants to improve yields and reduce global reliance on synthetic fertilisers
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will contribute to an exciting, interdisciplinary programme developing next-generation human in vitro models of pain. The project aims to recreate the complex multicellular interactions that underlie
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We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Foerster Lab for AI Research group at the Department of Engineering Science (central Oxford). The post is funded by ERC (or UKRI) and is fixed term to 31 December 2028. We are seeking two candidates...
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. statistics, mathematics, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding