64 computer-"https:"-"https:"-"https:"-"https:"-"Dr" Postdoctoral positions at University of Oxford
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning
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program exploring the role of fluctuations in molecular transport processes by studying highly controlled experimental models at the meso- and nanoscale, funded by a UKRI Frontier Research Guarantee Grant
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This 36-month postdoctoral position is part of the project ENLIGHT (Enabling a Lifecycle Approach to Graphite for Advanced Modular Reactors) consortium, a £13.2 million, five-year programme
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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to develop a personal research programme in observational or theoretical cosmology, with a particular emphasis on ultra-large-scale cosmology (including primordial non-Gaussianity and horizon-sized effects
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characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas in a highly experimental laboratory is
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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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
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sensing. are essential as well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 18 months
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completion of, a relevant PhD/DPhil together with relevant experience. You will have the ability to lead and report an original research programme, as shown by a documented research track record, including