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Qualifications Research experience with unsupervised and weakly supervised CNN and RNN architectures such as GANs, contrastive Learning, multiple instance learning, and transformer models Experience with
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, clinical applications, addressing cancer’s social determinants, lowering barriers to UK SMEs, catalysing innovation and positioning the UK as a global leader in the dynamic healthcare and AI ecosystem. About
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, clinical applications, addressing cancer’s social determinants, lowering barriers to UK SMEs, catalysing innovation and positioning the UK as a global leader in the dynamic healthcare and AI ecosystem. About
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Engineering Position Description The Aizenberg Lab at Harvard University is seeking a postdoctoral researcher to join a multidisciplinary team working on SNIFFIA – the Sensory Nature-Inspired Fact Finder