23 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "P" "St" Postdoctoral positions at King's College London
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provides high-quality contributions to academic debates. You will work closely with Prof. Ben Geiger and Prof. Karen Glaser as part of the Centre’s ‘Work, Welfare Reform and Mental Health’ programme. This
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theoretical interest in areas relating to: STS, research evaluation, critical digital/data studies, sociology of calculative practices, or assetisation Excellent oral and written communication skills Desirable
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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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Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high
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tissues Knowledge of bioinformatics or computational analysis Evidence of successful collaboration in multidisciplinary projects Downloading a copy of our Job Description Full details of the role and the
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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