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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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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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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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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from
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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
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Conversion and Systems at the Aalto University School of Engineering invites applications for Doctoral Researcher in Sustainable Renewable Energy Engineering, Modeling and Optimization Department of Energy and
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to large models. In addition to research work, persons hired are expected to participate in teaching following the standard practices at the department. Your experience and ambitions The position requires
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multiscale and multiphysics modelling, mechanical testing and microstructure characterization, and digital measurement and quality control techniques. Among the applications in green processes and methods
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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven