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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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of research this position is engaged in: The Bowen lab leverages wide-scale neural recordings, predictive modeling, and continuous glucose monitoring with the goal of building foundational integrated (“multi
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Job related to staff position within a Research Infrastructure? No Offer Description Ocean waves follow complex patterns influenced by wind, currents, and the shape of the seafloor. Predicting extreme
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Postdoc in Biomedical modelling of the human colon and surrounding organs Department of Computer Science Faculty of Science University of Copenhagen The Department of Computer Science invites
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Modelling Neutrino Interactions for Next Generation Neutrino Experiments School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Patrick Stowell, Dr Rhiannon Jones
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important modelling parameters for the digital model. Create a digital model of the wind turbine whilst having the important modelling parameters variable. Develop methodologies to solve coupled inverse
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; developing, interpreting, and applying the two statistical models; and submitting peer-reviewed publications and presenting findings at scientific conferences and stakeholder workshops. Unit URL https