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postdoctoral position in data analysis, where you will apply machine learning techniques to understand how resistance genes spread and to help detect infections caused by resistant bacteria. The position is part
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to the development of Ecological Risk Analysis Tables (ERATs) to support the development of coastal management accounting for climate change and species interactions. The post-doc will have an important role in
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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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-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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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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total of approximately 1,400 employees and 17,700 students spread across two inspiring campus environments in Karlstad and Arvika. More information at: kau.se/en/work-with-us Description Due to
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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