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-temporal analysis, use of latent variable models such as VAEs, GANs, and diffusion models to capture complex distributions, methods for interpretability (e.g., SHAP values), as well as uncertainty
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
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The Department of Mathematics and Mathematical Statistics, Umeå University, invites applications for a two-year postdoctoral fellowship in data-driven analysis of a subarctic ecosystem near Kiruna
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in Scandinavia. Hyperspectral lidar data analysis and visualization. Administration related to the work duties listed above such as experiment risk assessment analysis and permits for work in protected
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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical
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that are motivated to help each other are highly encouraged to apply. Please describe in your summary of current work what type of analysis and tools you would like to develop in the lab, based on your previous
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that are motivated to help each other are highly encouraged to apply. Please describe in your summary of current work what type of analysis and tools you would like to develop in the lab, based on your previous
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in breath. The postdoc is part of a collaborative research project entitled ‘Blood, breath and bugs’ funded by the Carl Trygger Foundation. About the position The project aims at unequivocally
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engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge of numerical methods for PDEs, expertise in High Performance Computing
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. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/ Our group focuses on studying