54 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs at King's College London
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of this role is to support the successful delivery of a mixed‑methods research study, contributing to all stages of the project’s design, implementation, data collection, and dissemination. Working under
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and
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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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. The faculty-wide initiatives are supported by an active Diversity & Inclusion Team. About the role: This will be a post working on fundamental recruitment, research, and data analysis tasks based in the NIHR
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: Essential criteria Be enrolled in or hold a first degree in biomedical engineering, robotics, or relevant discipline. Possess sufficient specialist knowledge in computer aided design, systems integration, and
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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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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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approaches for managing confidential spatial health data, including differential privacy and other secure geospatial data protocols. This research will advance our understanding of how major infectious
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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