315 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at KINGS COLLEGE LONDON
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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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and genomic technologies to mental health research. The role will centre on the receipt, processing, and storage of thousands of blood samples, ensuring accurate sample tracking and data linkage within
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, guidance, best practices and GCP standards regarding the conduct of clinical trials To ensure confidentiality of commercially sensitive information To ensure data protection imperatives are respected This is
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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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including grade 7. Visit 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
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technologies, ensuring compliance with data protection, accessibility, and copyright standards. Working closely with the iTEL Hub team, academic staff, and professional services colleagues, the LTSO plays a key
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skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what
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academic and clinical settings Experience with data analysis techniques Desirable criteria Evidence of working with international research groups or consortia, contributing to global perspectives on liver
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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