34 engineering-computation "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at King's College London
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disorders through an integrated programme of research, teaching and clinical activity. About the role Applications are invited for doctors with suitable experience to work as a full time Clinical Research
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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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and create a lasting impact. The successful applicant will be closely supervised by Dr Alkystis Phinikaridou and Prof. Mauro Giacca at the School of Biomedical Engineering & Imaging Sciences (St Thomas
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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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this role, you will contribute to developing computational models of neural circuitry across different architectures and scales. You'll simulate how these networks respond to targeted perturbations, then
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collaborative international programme focused on strengthening specialised mental health services for children and adolescents in Ukraine. The successful candidate will join the Department of Child & Adolescent
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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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Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in science and technology studies
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King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We are looking
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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