18 parallel-processing-bioinformatics-"Multiple" Fellowship positions at KINGS COLLEGE LONDON
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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multiple fields and audiences. This is a full time post (35 Hours per week), and you will be offered an a fixed term contract until 31 August 2028. About you Please note that these are development positions
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Committed to equality, diversity, and inclusion, actively addressing areas of potential bias Desirable criteria Experience of working with multiple nations on global health Evidence of building research
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. The successful candidate will help develop, lead and deliver: a £3.8 million NIHR grant for developing and implementing digitally integrated care pathways for multiple-long-term-conditions management in primary
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document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further information: We ask all candidates
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of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We