39 phd-rehabilitation-engineering-computer-science Postdoctoral research jobs at University of London in Uk
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disease progression. About You Applicants should hold a PhD degree or equivalent in biological or related science and have a strong background in immune cell biology and animal models of inflammatory and/or
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Vitro Models. The project aims to use organ-on-a-chip technology combined with bioengineering approaches to develop, validate and use a suite of vascularised human tendon-chip models. These high quality
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into clinically meaningful insights. About You We are looking for a motivated researcher with a PhD (or near completion in 2025/26) in statistical genomics, genetic epidemiology, bioinformatics, or a related field
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of Engineering & Materials Science, Queen Mary University of London, working closely with researchers at the Digital Environment Research Institute & Barts Heart Centre. Barts Heart Centre provides one
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close to completion) in Materials Science, Physics, Chemistry, Nanotechnology, Electrical Engineering, or a closely related field, with a strong background in the synthesis and characterisation of 2D
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collaborate with bioinformaticians, experimentalists and clinicians. About You Essential requirements for this post include a PhD in a relevant biological or computational subject and background in
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dynamic strain and flow fields during flight. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. Desirable competencies would include
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infection experimental assays and the role will provide opportunities for career growth About You Applicants should have a PhD in a relevant field (or be close to completion) and be able to work independently
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to their own research interests. About You Candidates should have a PhD in a relevant discipline or will have obtained it by commencement of the position. Candidates should have some experience in multi
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical