14 phd-position-in-data-modeling-"Prof"-"Prof" Fellowship positions at KINGS COLLEGE LONDON
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Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
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training deep learning models on biological, chemical or related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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the Centre for Research Staff 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
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assays and techniques and establishing and managing mouse models of both breast cancer, glioma and other tumour types. This position offers an opportunity for open and collaborative engagement with other
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18 Sep 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Medical sciences Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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17 Sep 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 21
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on spatial transcriptomics Proven ability to develop and optimise spatial biology pipelines Expertise in multi-omics data integration and statistical modelling Teaching and mentorship experience Excellent
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and wellbeing programme and an evaluation of the feasibility and acceptability of a novel remote monitoring model in rheumatoid arthritis outpatient services across south-east London. The post-holder
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an a fixed term contract until 14th September 2026 (with potential to extend and develop a PhD depending on funding and progress) Research staff at King’s are entitled to at least 10 days per year (pro
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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta