29 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" research jobs at King's College London
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fellows are expected to submit a career development plan, specifying career goals and the competencies that the postdoctoral fellow should acquire, no later than one month after commencement of
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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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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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applications, APIs). Programming skills in Python or similar languages. Familiarity with high-performance computing environments (Linux systems and SLURM) and cloud-based services (e.g., Google Cloud, AWS, Azure
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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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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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, data science, quantitative 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
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using real-world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas