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, genetic, and DNA methylation analyses to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, they will help generate and
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analyses to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, they will help generate and interpret high-resolution datasets
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samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, they will help generate and interpret high-resolution datasets that reveal new insights
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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About us King’s College London is one of the UK’s most prestigious universities, located in the heart of one of the world’s most vibrant and dynamic cities. With a rich history of excellence in
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We are seeking an ambitious scientist to join a vibrant team examining the evolution of locomotion in birds. The overall aim of the project is to deliver an exhaustive anatomical and functional data
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The University of Oxford is seeking an experienced Post Doctoral Research Scientist to join our laboratory team in the Radcliffe Department of Medicine (RDM) Division of Cardiovascular Medicine. RDM
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
computational chemistry to MFMs is that, even for "rigid" MFMs, especially when functionalized, their structures are disordered due to the random orientation of linkers. Such structural disorder and flexibility
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analyses to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, they will help generate and interpret high-resolution datasets
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using statistical packages such as Stata, R or Python. About the Institute The Wolfson Institute of Population Health (WIPH) is an exciting and dynamic environment, home to more than 450 staff, 100 PhD