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group at the Centre of Human Genetics, within the University of Oxford. The Tzima/Reader research group is at the cutting edge of developments in production of samples for structural biology using
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of developments in production of samples for structural biology using mammalian and bacterial expression systems and cell-based in vivo models of mechanotransduction. You will join a very lively and motivated
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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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on the Vector Observatory project (https://www.malariagen.net/vobs/ ). Malaria continues to pose a major global health challenge, and mosquito vectors are central to transmission. The project addresses three
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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. What We Offer As an employer, we
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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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, Future Energy Systems and Advanced Materials, Electronics and Communications) and eight Research Nodes which group staff under technical expertise and interest (see https://www.durham.ac.uk/departments
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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