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Better together: Numerical analysis and sparse Bayesian learning for inverse problems
Abstract
How can we reconstruct high-quality images from measurement data? How can we uncover biochemical reaction mechanisms from experiments? And how can we quantify uncertainty in predictions from mathematical models, such as neural networks?
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Docent lectures at the Faculty of Science and Engineering
Here we are announcing docent lectures at the Faculty of Science and Engineering.
Finding the way – On generative AI use in doctoral research and education
Uncertainty and anxiety about the “right” way to use generative AI tools in research often lead to a desire for guidelines or rules.
How can we set up a productive discussion between doctoral students, supervisors and other researchers on...