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similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical
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mechanics (QM / MM) molecular dynamics simulations using a Quantum Centric Supercomputing (QSC) approach [1,2] for the QM problem. This will be integrated within the in-house MiMiC framework [3] and applied
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& Neuroscience and is located at Guy’s campus. Researchers have access to support facilities in genotyping, molecular biology and Drosophila work. CDN has close partnership with the Medical Research Council (MRC
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! You will demonstrated expertise in developing machine-learning interatomic potentials (MLIPs) for large-scale molecular dynamics (MD) simulations of materials. Together, we will push the boundaries
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on forests and forestry as complex socio-ecological systems. We closely collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology, pathology, policy and planning. We
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tasks for the position The candidate will pursue research on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer