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and have a PhD in a field related to mathematical modeling and experience in optimizing industrial processes, this might be something for you! We are looking for a postdoctoral researcher (“PostDoc”) to
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together with industrial partners? Do you like supervising students and participating in teaching? If you are a creative and analytical person and have a PhD in a field related to mathematical modeling and
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class expertise in Atomic Layer Deposition (ALD), electrochemical materials, soft materials, and molecular modelling. The research in the Department focuses on advanced and functional materials, chemical
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processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from investigating fundamental properties
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based on chemical synthesis and materials research. We have world class expertise in Atomic Layer Deposition (ALD), electrochemical materials, soft materials, and molecular modelling. The research in
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. Collaborate with ongoing efforts in interface characterization (X-ray based spectroscopy and microscopy) and engineering (e.g., atomic layer deposition, artificial interfaces) and advanced battery modeling
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spectroscopy and microscopy) and engineering (e.g., atomic layer deposition, artificial interfaces) and advanced battery modeling to establish correlations between interface/interphase design and electrochemical
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for modelling, control, and optimisation of next-generation energy conversion systems. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise
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drives, power electronics, electrolysers). Your role As a postdoctoral researcher, you will advance AI-based technologies for modelling, control, and optimisation of next-generation energy conversion
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algebras, tensor categories, lattice models of statistical physics, conformally invariant random processes, formalization of mathematics (preferably in Lean). The working language of the group is English