13 computer-programmer-"https:"-"U"-"Inserm"-"UCL"-"AMOLF"-"https:" Postdoctoral positions at King's College London in United Kingdom
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Mental Health Younger Generations Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis
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currently leading the NeuroHand project—a UKRI-funded programme focused on the development of a soft robotic exoskeleton glove for stroke rehabilitation. The role provides an exciting opportunity
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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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work make a real-world impact? King’s College London is seeking a talented Postdoctoral Research Associate to join the pioneering NanoCure project, an ambitious programme developing medical-grade
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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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. 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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of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics, all departments highly rated in research activities and a wide-ranging portfolio
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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 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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will conduct cutting-edge research at the intersection of neuroimaging, genomics, and computational modelling, with a focus on child and adolescent mental health. The successful candidate will primarily