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Field
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description of the project [Outline of Laboratory] Our research group investigates a wide range of biological problems—from cell differentiation and multicellular dynamics to evolution and phase transitions in
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would like to work in collaboration between biophysics, structural biology and biochemistry, then join us. Our labs (Pombo-Garcia & Wu) are interested in molecular organisation of cell interfaces in
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meaningful insights that support resilient and sustainable energy futures. The team This role will report to Associate Professor Dr Ruidong Chang and sit within the School of Civil Engineering and Construction
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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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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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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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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