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structure prediction. Experience of BASH and command line. Background in structural biology, molecular modeling, protein dynamics, and understanding of ensembles. Experience with molecular modeling and
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assignments We are focused on understanding biomolecular structures, their dynamics, and ensembles at the molecular level. As part of our team, you will develop computational approaches to analyze and predict
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assignments We are focused on understanding biomolecular structures, their dynamics, and ensembles at the molecular level. As part of our team, you will develop computational approaches to analyze and predict
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position within a Research Infrastructure? No Offer Description Contexte et atouts du poste Neural Networks make advanced predictions on data, such as identifying objects on a picture. The ones using graph
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training budget of £3,250 for specialist training courses and expenses Project Background Numerical Weather Prediction (NWP) models produce forecasts that generally perform well at capturing large-scale
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data-driven. Will you be part of that change? Then join us in this unique program! Your goal will to leverage cutting-edge machine learning methodologies to extract conformational ensembles from single
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learning methodologies to extract conformational ensembles from single-particle cryo-EM data. The project builds on our recently established (not yet published) software, which machine-learns protein
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Predictions inform almost all our decisions (e.g., when choosing the bike over the bus, based on the predicted duration and weather conditions). Critically, sometimes unexpected changes in the world
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
PhD: Development and application of Machine Learning for downscaling climate predictions/projections Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
of generating large ensembles that can translate coarse resolution operational climate predictions or projections into robust and reliable regional and local information. Work tasks Do research into methods