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energy pathways Aero-thermal design of propulsion and power technologies Thermodynamic analysis and development of net zero flight and energy cycles Data Science and multi-disciplinary modelling and
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analytical skills and substantial experience in machine learning at scale are required. Detailed information on the requirements for the role can be found in the further particulars. The position is for 1 year
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. The project will use state-of-the-art genomic technologies to identify epigenetic determinants that lead to protein misfolding in neurons. Using single-cell technologies for in vivo mouse models as
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We are looking for an adventurous researcher to explore Monte Carlo methods for radiation transport (as part of the EPSRC grant, MaThRad). The Cambridge Nuclear Energy group is developing a modern
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://academic.oup.com/bjs/article/110/2/133/6677613 Candidates should have (or expect to obtain) a first or upper second class degree in molecular or cell biology or an allied subject. Applicants with relevant research
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on 1 October 2024. Summary:The origin of cell membranes is a major unresolved issue in evolution. Evolutionary biology points to the existence of primitive cells with compositionally diverse membranes
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deep generative models, e.g., diffusion, energy based, normalizing flow or transformer-based models. With a focus on the particular domain of molecules. The project will contribute to accelerate the drug
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We are looking for an adventurous researcher to explore Monte Carlo methods for radiation transport (as part of the EPSRC grant, MaThRad). The Cambridge Nuclear Energy group is developing a modern
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techniques, manipulating specific circuits and cell types with opto- and chemogenetics, as well as designing and performing data analysis. The research assistant will join a multidisciplinary research
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Professor Alkes Price (Harvard TH Chan School of Public Health) and senior scientists at NHS Genomic laboratory hub. You will have the opportunity to establish collaboration with senior scientists around