32 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" research jobs at King's College London
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central London. The successful applicant will work on PRECISE-AI (Probabilistic Reasoning with Circuits for Safe and Explainable Artificial Intelligence), a research project funded by the Engineering and
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About Us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million-pound research funding and collaborates with other universities and Faculties within KCL, the NHS
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About us King’s College London is one of the UK’s leading research-intensive universities, with a strong commitment to excellence in science, engineering, and healthcare innovation. This role is
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, subgroup discovery and prediction of individualised reasonable adjustments. The post holder will construct analysis-ready datasets, undertake feature engineering from coded EHR data and implement rigorous
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of Biomedical Engineering & Imaging Sciences which is at the cutting-edge of research and teaching, dedicated to the development, clinical translation, and clinical application of medical imaging and
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Experience working with online assessment technology Advanced statistical analysis and modelling skills Programming skills, particularly MATLAB and/or Python Experience with analysis of brain imaging and blood
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QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field. In
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) Location: Department of Engineering, University of Exeter The Role The Faculty of Environment, Science and Economy seeks a Postdoctoral Research Associate to join the ARIA-funded NEUROBOT project
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About Us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million pound research funding and collaborates with other universities and Faculties within KCL, the NHS
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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and clinicians at Great Ormond Street