846 computer-science-programming-languages-"FEMTO-ST"-"FEMTO-ST" positions at University of Sheffield
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Neuro-Symbolic AI for Trustworthy Clinical Decision-Making: Bridging Linguistic Fluency and Logical Reasoning in Large Language Models (S3.5-COM- Valentino) School of Computer Science PhD Research
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Neuro-Symbolic AI for Trustworthy Clinical-Decision Making: Bridging Linguistic Fluency and Logical Reasoning in Large Language Models (S3.5-COM- Valentino) School of Computer Science PhD Research
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molecular biology Essential Application/interview Ability to assess and organise resources, and plan and progress laboratory work activities Essential Application/interview Experience of working within a
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relevant field (e.g., Neuroscience, Psychology, Computer Science, Mathematics, Engineering, Physics, or a related discipline). - A keen interest in computational neuroscience and/or computational psychiatry
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structure determination by cryo-electron microscopy, specifically with experience with large, multisubunit membrane protein complexes. Experience in gene manipulation, general protein engineering and
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Experience in developing software to a high standard using a range of computer languages and tools, ideally for applications involving the modelling, simulation and analysis of the large, complex and dynamic
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr S Cartwright, Dr Patrick
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Quantum Technologies Programme and is a five-year project with £19.5 M funding for a consortium of universities. The task of the group at the University of Sheffield within the consortium is to develop
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programme that has interdisciplinary collaboration at its core. The aim is to enable you to develop a range of research skills in biological, biotechnology and biochemical areas as well as equip you with core
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for the treatment of amyotrophic lateral sclerosis (ALS). This project is a hit to lead program for the development of modulators to target non-coding triple-helix RNA (NEAT 1). The successful candidate will play a