3 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Glasgow
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the response to anti-cancer therapy. Recent advances in digital pathology and innovative data analytics including machine learning have enhanced our ability to identify clinically relevant spatial
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simulations with experimental observations will further uncover intrinsic and extrinsic factors shaping clonal expansion in mouse models of liver cancer. The student will work with an interdisciplinary team
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transcript and protein levels. Using machine learning, we will identify conserved expression profiles that predict lifespan outcomes. Guided by these insights, we will use state-of-the-art genome editing in
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