28 phd-in-civil-and-structural-engineering Postdoctoral positions at University of London
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dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
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including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and
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for an outstanding, post-doctoral researcher with proven expertise and practical experience in relevant techniques including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA
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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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You The successful candidate will have a PhD (or soon to be awarded), or equivalent experience which has involved significant practical cell culture, and ideally experience with molecular biology
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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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for Translational Bioinformatics is a team of computational biologists, software engineers and data scientists located within the Digital Environment Research Institute (https://www.qmul.ac.uk/deri/) at Queen Mary
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qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C++ and python, familiarity with
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under real-world conditions. The role includes collaboration with leading 2D materials manufacturers, offering potential for interdisciplinary research and travel. About You You should have a PhD (or be
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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