36 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at King's College London in United Kingdom
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are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering, quantitative
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About us The Department of Informatics at King’s College London is looking to appoint a Postdoctoral Research Associate or Fellow to work in the area of technical AI safety. About the role
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& technology studies, development studies); Strong research profile for career stage, as demonstrated through lead authorship of well-placed publications; Excellent interpersonal and communication skills
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD
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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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computational social science/(social) data science and possess sufficient specialist knowledge in the study of online subcultures, their dynamics, and conspiratorial narratives to develop research programmes and
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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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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