21 postdoc-computational-biomedical-engineering Postdoctoral research jobs at University of London in United Kingdom
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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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View All Vacancies Comparative Biomedical Sciences Location: Hawkshead (nr Potters Bar, Herts) Salary: £40,528 to £51,470 Per Annum Including London Weighting Fixed Term / Full Time Closing Date
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is part of the Precision Musculoskeletal Care theme at the NIHR Biomedical Research Centre. The PDRA will help drive our activity in developing, validating, and testing a suit of new musculoskeletal
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View All Vacancies Comparative Biomedical Sciences Location: Hawkshead (nr Potters Bar, Herts) Salary: £39,969 to £50,760 Per Annum Including London Weighting Fixed Term / Full Time Closing Date
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biomedical sciences backgrounds combining expertise in organ-chip technology, cell biology, bioengineering and bio fabrication, with a collective aim to better understand tendon physiology and disease. About
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Raman spectroscopy. The project offers a statistician or mathematician an excellent opportunity for interdisciplinary training in biomedical and biophysics applications of mathematics, statistics and
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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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are seeking to appoint a postdoctoral research associate as part of a UKRI Future Leader Fellowship funded research programme. The successful candidate will work as part of a team to develop and apply deep
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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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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with