38 phd-rehabilitation-engineering-computer-science Postdoctoral research jobs at University of London
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the spectrum of Mathematical Sciences. It is part of the Faculty of Science and Engineering, which comprises five schools and two institutes. This position is based in the Centre for Data Science, Statistics and
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About the Role Barocaloric solid-state cooling is a promising new technology that has potential to dramatically reduce the carbon cost of cooling and refrigeration. In an EPSRC-funded collaboration
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About the Role We are recruiting an enthusiastic postdoctoral research associate to conduct a scientific programme of work focussed on pain mechanisms in epidermolysis bullosa, under the supervision
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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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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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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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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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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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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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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