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on deep learning and its combination with probabilistic models. The medical application involves work on extracting knowledge from large-scale ECG data sets and a possible collaboration with an existing
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. Technical keywords for the position include: data-driven modelling, deep learning, spatio-temporal processes, causal inference, decision-making algorithms (including reinforcement learning). The position
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be a strong focus on deep learning and Bayesian methods in the context of the project. We will consider the problem setting of simulation-based inference, where machine learning models are used
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Published: 2024-01-08 Two PhD positions in Exploration Geophysics with focus on new prototypes, mine-tailing characterization, deep-learning and mineral systems The Department of Earth Sciences