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highly productive and ambitious member of the QUB and Rolls-Royce collaborative research team, investigating and using computational simulation methods to support structural design of next generation
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of developments in in vitro and in vivo models of mechanotransduction. We use a multi-disciplinary approach that includes expertise and collaborations in bioengineering, biochemistry, structural biology, and
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
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fidelity of implementation of the co-designed intervention and explore mechanisms of impact and contextual factors associated with variation in outcome. Normalisation Process Theory will be used to structure
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
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structures unavailable elsewhere. Your role and goals The successful candidate is expected to lead the experimental effort with a team of PhD and master’s students and collaborate closely with theorists in
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Randomness and Structures; and Geometric analysis, stochastics and partial differential equations, interactions and applications . The starting date is flexible, preferably no later than September 2026
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computational methods for analysis and interpretation of large-scale biological datasets. Experiences in structural homology modelling is not essential but would be advantageous. The post holder will work in a
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structure theory, or simulation of electronic spectra. Experience with f-element chemistry, X-ray spectroscopy (theoretical or experimental) and/or method development in quantum chemistry would also be
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The Salo research group at the HiLIFE – Institute of Biotechnology, University of Helsinki, is seeking a collaborative and curiosity-driven Postdoctoral Researcher in structural biology. The