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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
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successful use in the context of molecular data, but many other research topics may also be relevant for the project, such as scalability, post-Bayesian methods, and in general computational and methodological
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, post-Bayesian methods, and in general computational and methodological challenges in integrative unsupervised learning. Method development will be motivated by the research questions of the funded
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from material to structural level based on theoretical, numerical and experimental investigations. The Concrete group is involved in several national and international research projects, it has a close
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Degree German doctoral degrees covered by LogDynamics: "Dr-Ing": Doctor of Engineering "Dr rer nat": Doctor of Natural Science "Dr rer pol": Doctor of Economics "Dr jur": Doctor of Laws Course
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applications in parametric modeling environments, including beam, shell, and solid-based elements. Creating a robust foundation in FEM theory and numerical methods, enabling the candidate to specialize in
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courses are held in English. Programme duration 6 semesters Beginning Winter and summer semester Application deadline SICSS recruits new doctoral candidates through job postings of the "Climate, Climatic
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boundaries; Students gain experience in the environments and types of scholarship they may productively engage in post-graduation; Students’ work is evaluated as part of the degree, ensuring it is of
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Degree Doctor of Philosophy (PhD), Division of Mathematics and Natural Sciences or Doctor rerum naturalium (Dr rer nat) Course location Göttingen In cooperation with Max Planck Institute for Solar
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methods to be considered for numerical optimization by an Energy and Emission Management System (EEMS). Data-driven AI methods (e.g. Reinforcement Learning and/or Recurrent Neural Networks) to be considered