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biology, biomedical engineering, drug discovery, structural biology, and molecular and cellular biology. Our vision is to be a world leader in the chemical and biochemical sciences through cutting-edge
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how a tumour responds to therapy across biological scales, are both betting that structure beats brute scale. In this postdoc you will lead research on physics-informed (and physics-grounded) world
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learning and deep learning techniques to the biological sciences. The ideal candidate will have expertise in artificial intelligence, with a specific focus on deep learning applications in structural biology
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Lab investigates the structure, dynamics, and regulatory mechanisms of RNA and RNA-protein complexes that maintain genome integrity, mediate innate immunity, and impact human health. Using a combination
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on the theory of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising
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how these dynamics influence mycotoxin contamination in corn. You will be a part of a multi-year project aimed at: Characterizing fungal population structure and succession across key phenological
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to use data and modelling to make historic buildings energy efficient – without compromising their cultural value? Join the research project DASHER at KTH. DASHER (Data-driven Structured Historic Energy
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the development of advanced materials from renewable bio-resources. Our mission spans from fundamental science, understanding structure-property relationships at multiple scales to applied engineering, creating
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Goal-oriented and structured way of working, as well as initiative commitment Good communication skills including publications in scientific journals and presentations at international conferences
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Overview The Rutgers Institute for Nicotine and Tobacco Studies (formerly Rutgers Center for Tobacco Studies) is undergoing dynamic and transformative growth. The Rutgers Institute for Nicotine and Tobacco