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expression across tissues and developmental stages, quantifying correlations between transcript and protein levels. Using machine learning, we will identify conserved expression profiles that predict lifespan
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protein expression across tissues and developmental stages, quantifying correlations between transcript and protein levels. Using machine learning, we will identify conserved expression profiles
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. Recent advances in digital pathology and innovative data analytics including machine learning have enhanced our ability to identify clinically relevant spatial characteristics of TMEs [1]. In lung cancer
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Hispanic Studies is a small, vibrant and dynamic research unit with strong connections to institutions in the USA, Latin America, Spain and Portugal. PhD: 3 years full-time; 5 years part-time
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Republic. Established in 1917, Russian was augmented soon after WWII by Czech and Polish Studies, which now form part of a vibrant research culture within the School of Modern Languages and Cultures. PhD: 3 years full
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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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machine learning background. You will hold, or be about to obtain, a PhD in a relevant field. This is a unique opportunity to join a large UK-wide team of experts in causal inference for healthcare to make