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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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. 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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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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://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