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, machine learning and biophysics. Investigators at CFIN are supported by state-of-the-art research facilities, including MRI, MEG, OPM-MEG, EEG, PET, TMS, eye-tracking and more. CFIN is part of the Danish
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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state-of-the-art machine learning methods to analyse high-dimensional (time series) data. For the selected candidate, there will be possibilities to influence the project and develop new project ideas
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transition probabilities. Use machine learning approaches to optimize model performance and run simulations over multiple time scales. Validate and improve the model with experimental data collected by
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underwater intercepting drone for immobilization of subsea threats. You will be part of a diverse project team sharing the task of investigating the fusion of multiple sensor modalities, including optical and
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transition probabilities. Use machine learning approaches to optimize model performance and run simulations over multiple time scales. Validate and improve the model with experimental data collected by