33 phd-rehabilitation-engineering-computer-science Postdoctoral positions at University of London in United Kingdom
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will have a computer science, biomedical sciences or bioengineering background, with experience of interdisciplinary research and experience of bioinformatics analyses. Alternatively, you could be
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will have a PhD (or close to completion) in bioinformatics, health data science/computer science, or a closely related discipline, in the relevant subject area for the research programme, with
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a PhD in Materials Science, Chemical Engineering, Chemistry, or related discipline; materials processing and characterization experience; knowledge of characterization techniques (XRD, SEM
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the Faculty of Science and Engineering. While it is built around the core disciplines of Physics, Astronomy, and Chemistry, it also incorporates data science, reflecting a growing emphasis on computational and
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. About the School The School of Mathematical Sciences has an exceptionally strong research presence across the spectrum of Mathematical Sciences. It is part of the Faculty of Science and Engineering, which
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sciences or bioengineering background, with experience of preclinical models and a background in skeletal conditions. Alternatively, you could be an engineer with biomechanical or other relevant skills in
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, postdoctoral researchers, and PhD students and provides an inclusive environment supporting innovation in clean energy and advanced engineering solutions. We welcome staff from diverse backgrounds and are
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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of the Faculty of Science and Engineering, which comprises five schools and two institutes. This position is based in the Centre for Geometry, Analysis and Gravitation. Other Centres include the Centre
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progression. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim