15 programming-"https:"-"FEMTO-ST"-"https:" Postdoctoral positions at King's College London
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research programme takes a mixed methods approach. The successful applicant will have a key role in the qualitative work package which aims to understand multi-stakeholder perspectives of the C(E)TR process
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common complex human genetic diseases using genomics and other omics data within large-scale health datasets. The postholder will contribute to objectives and development of a research programme funded by
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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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, if they are admitted. The impact of C(E)TRs on clinical and other outcomes has not been extensively studied. The OptiCaT research programme takes a mixed methods approach. The successful applicant will have a key role
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(or pending results) Proficient in using R, Python or similar programming language Experience of working with clinical or equivalent data. Experience in developing analytic pipelines. Desirable criteria
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to develop a research programme of your own, and apply for independent funding. The postdoctoral researcher will also have teaching opportunities if this is of interest. You will be primarily based
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or pending results). Strong programming skills
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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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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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formats (DICOM, NIfTI) and image preprocessing tools (e.g., MONAI, SimpleITK). Excellent programming skills, demonstrated through available code or projects, with proficiency in Python and deep learning