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, an understanding of evolution of foundation models, and a good grounding in multimodal learning, including fusion and alignment. About the Institute The role will be based in the Digital Environment Research
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the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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, presentation and analytical skills and willing learn additional skills as well. Self-motivated, hardworking, flexible and professional approach to work. About the School/Department/Institute/Project The Faculty
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interest to identify cancer drivers from genomic data using machine learning (Mourikis Nature Comms 2019, Nulsen Genome Medicine 2021), study their interplay the immune microenvironment (Misetic Genome
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practice impact while also learning about machine learning techniques. The successful applicant will work in the newly formed Health Equity Evidence Centre and innovative new centre that will generate data