31 data-"https:"-"https:"-"CMU-Portugal-Program---FCT" Postdoctoral positions at KINGS COLLEGE LONDON
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conditions. About the role We are seeking a highly motivated postdoctoral Research Associate in research data science and analysis to join Professor Gerome Breen’s internationally recognised team at King’s
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models. These models will leverage both imaging data and corresponding radiology reports during training to build comprehensive representations that capture the rich, complementary information contained in
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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 Fluency in English Strong skills in
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responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research
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modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial transcriptomics, proteomics, metabolomics, and metallomics data. Using advanced techniques
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investigates the molecular and cellular mechanisms underpinning muscle biology, in the context of health and disease. His labs interests have begun to explore the analysis of multi-molecule data sets
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and how this may be improved. This will include participant recruitment through various means, data acquisition (primarily through individual semi-structured interviews), data analysis, and working with
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further information about our Department, please visit our website . About the role The postdoctoral position will be an integrative part of an exciting ERC project dedicated to biosynthesize and
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Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis on various aspects of mental health and
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team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5-year project Computational Corpus Annotation for Quantitative Analysis