148 computer-"https:"-"https:"-"https:"-"https:"-"Dr" Postdoctoral positions in United Kingdom
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, stimulating, diverse research environment and actively promote a family friendly workplace. The Institute is also a member of Stonewall’s Diversity Champions programme. The John Innes Centre is a registered
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Programme Grant on "Quantum Many-Body Physics with Ultracold Polar Molecules'' funded by UK Research and Innovation (UKRI).The research builds upon our expertise in creating ultracold RbCs molecules in
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partnership with Agrecalc (Farm carbon calculator | Home | Agrecalc ), Farm Carbon Toolkit (Home - Farm Carbon Toolkit ), and the Coolfarm tool (Carbon Footprint Calculator | Measure Water & Biodiversity
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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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Biomedical Campus. You will join an exciting research programme investigating novel aspects of viral sensing and the function of key uncharacterised viral evasins. This post will involve the use of cutting
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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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, 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