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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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-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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We are pleased to announce a postdoctoral position focusing on developing advanced computational techniques to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from
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models of interacting ecological and evolutionary (eco-evolutionary) processes. You will conceptualize and model the complexity in which ecological divergence and speciation drive an adaptive radiation
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the following fields: mathematics, physics, computational science, or engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge
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data-driven infection research, such as the development or innovative application of computational tools to analyze and integrate data or mathematical models to understand complex systems. Experience
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or innovative application of computational tools to analyze and integrate data or mathematical models to understand complex systems. Experience of teaching in undergraduate and graduate education can be an
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or innovative application of computational tools to analyze and integrate data or mathematical models to understand complex systems. Experience of teaching in undergraduate and graduate education can be an
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering