15 cloud-computing-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at King's College London
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the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with cloud or distributed computing environments
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently funded EPSRC Programme grant, undertaking research into Nanotheranostics, support
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Lab at the Centre for Developmental Neurobiology. This role will drive an exciting programme using single-cell and spatial transcriptomics to build high-resolution maps of human choroid plexus (ChP
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, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently-funded EPSRC Programme grant, undertaking research into nanotheranostics, support
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also host a multidisciplinary PhD programme focused on contemporary India, a joint PhD programme with the National University of Singapore and a visiting Inlaks-King’s India Institute PhD fellowship
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the mechanisms of neurological and psychiatric disorders across the lifespan. It employs a multidisciplinary approach, combining expertise in imaging techniques, computational neuroscience, basic and clinical
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access