101 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "UNIV" research jobs at KINGS COLLEGE LONDON
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early postnatal life. This is based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan” of the brain is genetically determined, it is also
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program grant, REFUEL-MS, which is developing and evaluating a tailored digital treatment to help individuals with multiple sclerosis effectively manage their fatigue. You will be involved in analysing data
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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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project, an ambitious programme developing medical-grade nanoneedle bandages to deliver life-changing gene therapy for patients with recessive dystrophic epidermolysis bullosa (RDEB). This is a unique
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programmes involving national and international partnerships, often with our department acting as the lead site in multi-centre collaborations. We have been identified as the leading schizophrenia research
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for
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. The successful candidate will work within a multidisciplinary team to unravel the metabolic drivers of HCC biology and transplant rejection through cutting-edge spatial multi-omics and computational metabolic
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interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join the Computational Humanities research group, a vibrant and collaborative
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for
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application of research ethics Experience with the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with