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our teams, you would therefore have the opportunity to learn more about a wide variety of techniques relevant to pain research, as well as become a member of the Wolfson SPaRC – a world-leading
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power, for example feminist, intersectional, socio-legal, or related frameworks; confidence, or willingness to learn, working with structured datasets as part of mixed-methods research; ability integrate
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, integrate device engineering with clinical workflows, and apply artificial intelligence and machine learning for automated image and signal analysis, tissue classification, and real-time diagnostics
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our teams, you would therefore have the opportunity to learn more about a wide variety of techniques relevant to pain research, as well as become a member of the Wolfson SPaRC – a world-leading
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sophisticated machine learning tools for image processing Experience in mathematical modelling Knowledge in comparative neuroscience (comparative vertebrate neuro) Proficiency in basic computer packages (eg
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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative