27 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "J" "J" research jobs 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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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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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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social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming proficiency in R or Python and version control systems like Git
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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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scientists. Based across 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
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general cardiology and wish to gain more sub-specialty experience in Cardiac MRI (CMR), by taking an Out-Of-Programme Experience (OOPE) from their current training programmes. The ideal candidate would be
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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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experimental chemistry, providing a supportive research environment. Applicants should have a PhD in Chemistry or related field, and extensive experience in python programming and machine learning models
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sensing, ecology, statistics, engineering, data science, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming