21 postdoc-computational-biomedical-engineering Postdoctoral positions at University of London
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About us This post is within the School of Engineering and Materials Science, a large School with approximately 70 academic staff and around 45 postdoctoral research staff. There are around 1000
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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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in tandem with clinical partners. About You You will possess a PhD or be nearing completion in mechanical, electrical, or biomedical engineering, or a related discipline. You will have hands
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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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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
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access to cutting-edge field and laboratory facilities including a high performance geospatial computing suite, UAV sensing platforms including LiDAR, thermal and multispectral imaging, and GNSS surveying
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offers opportunities to publish, present at conferences and contribute to advances in marine engineering and sustainable aquaculture. About You You will hold a PhD in Mechanical/Marine/Computational
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Engineering and Computer Science (EECS) Our researchers work with the arts and sciences collaborating with psychologists, biologists, musicians and actors, mathematicians, medical researchers, dentists and
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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