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only. Research Associate/Fellow position for EPSRC project Designing bio-instructive materials for translation ready medical devices (maternity cover) We are seeking postdoctoral scientists to join an
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motivated and have an advanced degree (Ph.D.) in computer science, electrical or biomedical engineering, physics, statistics, or related fields. Previous experience in software development practices (version
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such as Geography, Computer Science, Planning, Statistics, Mathematics, Physical Sciences, Social Sciences are likely to be relevant. Or other relevant or equivalent qualifications. They will also have
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the predictive value of these biomarkers extracted from deeply phenotyped cohorts and biobanks by providing probabilistic forecasts for future medical events associated with the risk and progression of Parkinson's
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About us UCL’s Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked
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Delphi will be advantageous. Clinical or research experience with electronic medical devices, computer or app-based devices or artificial intelligence in healthcare will also be useful. You will be
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the UK Medical Research Council and is available immediately. The salary will be on the Academic Pathway salary scale, Grade 6 in the range £43,947-£49,908 per annum (inclusive of London Weighting
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that you meet the following criteria: Have, or about to obtain*, a PhD in public health, epidemiology, computer science, biostatistics, engineering, geography, urban planning, or a related area (*must be
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-value industrial facilities. This role places you at the forefront of research that tackles scientific challenges and fosters innovation in manipulating soft robots across industrial and medical
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About us Are you interested in conducting groundbreaking mental health research? If so, we are looking for a talented postdoctoral researcher to join our pioneering MRC-funded project. Harnessing the power of machine learning, you will explore the interplay between metabolomic and proteomic data...