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aims to transform our understanding of early human brain development through the integration of cutting-edge imaging technologies, experimental neuroscience, computational approaches and clinical
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vision, machine learning, computational imaging, surgical data science, biomedical engineering, medical image computing or a closely related discipline. They should have strong knowledge of AI, computer
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footage, coordinate laboratory recording campaigns and human annotation of welfare states, and work closely with Ace Aquatec's engineering team to specify, train and evaluate AI/computer vision models
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About us The Bioelectronics group at UCL's Department of Electronic and Electrical Engineering is seeking a postdoctoral researcher to join a flagship EPSRC-funded project led by Dr Yu Wu. This is a
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, computer science etc. Experience in quantitative imaging using commercial and lab-built microscope systems. Experience working with engineered heart tissue, including tissue culture and preparation for live imaging
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the Electrochemical Engineering Science Group and work within Dr Daniel Niblett's team on the five-year UKRI EPSRC ION-H2 Fellowship. The programme combines computational modelling, machine learning
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Engineering, Computer Engineering, HealthTech, MedTech, Product Development, Clinical Engineering or related disciplines with relevant experience in engineering, prototyping, product development or healthcare
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research staff will have the opportunity to be equipped with applied research skills that are relevant to industry demands while working on research projects in SIT. About the DIGNIFIED programme The
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data engineers, contributing to high-impact research on cancer prevention and risk. About you The successful candidate will work in a collaborative and internationally connected research environment
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied