261 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:" Postdoctoral positions in United Kingdom
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Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high
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qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes
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and national industries, the school hosts several externally funded research programmes in key research themes including healthcare and tissue engineering. This 48-month Research Fellow position in
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. The successful candidate will work within a multidisciplinary team to unravel the metabolic drivers of HCC biology and transplant rejection through cutting-edge spatial multi-omics and computational metabolic
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funded by the Leverhulme will collaborate with the PDRA on parts of the project. The candidate should be able to provide evidence of expertise in visual psychophysics and should have strong computing
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of the atmosphere for research purposes. An excellent knowledge of atmospheric physics. A strong experience in a scientific computing and data visualisation language. The ability to work independently and as part of
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for
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Postdoctoral Researcher. The group aims to identify, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple international labs (including
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, psychology, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance
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archaea, many of which also use histones as major chromatin building blocks, and non-model bacteria. In the lab we combine a variety of computational and experimental techniques, including phylogenomics