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. To do so, you will combine atomistic simulations (density functional theory and ab-initio molecular dynamics simulations) with new machine learning models to parameterize machine learning force fields
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of polymers and other materials such as metals and dielectrics, but also characterization of those. You will be leading the laboratory work. These activities will be in close collaboration with our partners
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differences in productivity among firms and at the aggregate level. The stipend is open for appointment from November 1, 2026 or soon hereafter. The duration of the position is three years. Your work tasks You
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performance. Hence, a trade-off between scalability and performance needs to be found. Qualification requirements Prospective applicants to this PhD proposal should have the following qualifications: - M.Sc
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on numerical simulation of the turbulent urban boundary layer using the transient mesoscale model PALM‑4U. The work involves developing the model to integrate multi‑physical parameters and boundary conditions
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student to work within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). The project will leverage Large Language Models (LLMs) as active software agents to help automate
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good process simulation and sustainability assessment skills. The FrameBio PhD project, is part of prestigious Marie Skłodowska-Curie Actions (MSCA) Doctoral Network, a collaboration between 16 partners
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on how to design, synthesize, and study functional molecules, in particular π-conjugated molecules. All activities are rooted in organic synthesis. We offer a creative, international and strongly
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contain well-informed methodological considerations. To find out more about the department please go to https://www.cbs.dk/si . Project topics SI particularly invites for PhD project applications pertaining
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Engineering. For the current PhD position, you will work mainly on the lab-scale setup covering step (1) and (2), both experimentally and through reactor modelling, but you will also be involved in the work