23 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" Postdoctoral positions at King's College London in United Kingdom
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an exciting opportunity for a Postdoctoral Research Associate to join their dynamic, interdisciplinary team to shape how multimodal bioimaging data is stored, shared and reused. The Parsons Group is based in
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PDRA will contribute to the development of a database of high-resolution equity indicators and apply cutting-edge GeoAI and spatial data science techniques to model and classify population health risk
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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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, using genomic and clinical data from large cohort studies on immune-mediated inflammatory diseases including psoriasis and rheumatoid arthritis. The PDRA will lead on research across all three objectives
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capturing the voices and silences of those most affected by extractive industries, the project aims to build a bottom-up, data-driven framework for justice that informs national policies and global climate
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About Us The Centre for Rheumatic Diseases at King’s College London is an internationally recognised Centre of Excellence for rheumatology research, spanning health data science, clinical trials
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AEP equivalent up to and 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
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/experimental design and analysis of complex research data. Advanced knowledge of preclinical (in vitro and/or in vivo) validation. Expertise in small animal imaging Possess excellent written and verbal
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, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in
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“Data-driven design of organic mixed conductors”. Mixed ionic/electronic conducting materials are being developed for applications in bioelectronics, biosensing, energy storage and neuromorphic computing