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bring expertise in computational methods (such as machine learning, chemo-informatics, molecular dynamics simulation, structural biology) and / or experimental methods (such as biophysical analysis
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. Interested candidates may want to take a look at our recent work on machine learning molecular dynamics: https://www.nature.com/articles/s41467-024-52491-3 Project 2: Non-adiabatic Molecular Dynamics
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analysis, and machine learning. The successful candidate will join the dynamic and collaborative research environment of the CRUK Beatson Institute, working with a diverse multidisciplinary team of computer
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function. This project will build upon ongoing work in the lab to resolve the molecular mechanisms driving stomatal clustering using Begonias and to implement this knowledge to engineer stomatal patterns
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We strive to understand the central nervous system at multiple levels of function, from cells to cognition to social interactions. Our approaches range from molecular, cellular and experimental
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particular reference to 3D models, and molecular biology with the development of stably transfected clones. She/he will also have an opportunity to develop troubleshooting skills and critical thinking