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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
models. You will also have opportunities to contribute to open-source computational tools and datasets, teach master-level courses, and advise doctoral students. You will closely collaborate with Prof
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results with electrochemical kinetics analysis and computational insights for mechanistic interpretation of LiNRR and beyond-Li NRR. Collaborate with the project partners and support their research
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://www.hw.ac.uk/uk/services/equality-diversity.htm and also our award-winning work in Disability Inclusive Science Careers https://disc.hw.ac.uk/ . Use our total rewards calculator: https://www.hw.ac.uk/about
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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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a project investigating prehabilitation for cancer populations in collaboration with the Cancer Treatment Outcome Programme at the Country Durham and Darlington NHS Trust. Prehabilitation means
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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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, 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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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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part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional