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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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already at the early design stage. In this role, you will develop power converter integration concepts that support design for disassembly. Multi-physics simulation tools will be used to analyze
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on reinforcement learning (RL) for policy discovery in a multi-sector “integrated modeling environment” that connects fast ML metamodels of simulators (e.g., transport, energy, environment, climate events). The aim
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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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-year PhD position within the R2-D2 project: “Robotic Research platform and automated Device Doctor for Perovskite Solar Cells”. The position is available from April 15, 2026, and the specific start date
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) for measuring the quality, shape and the neutron focusing performance of the Wolter optics. The work will be performed in close collaboration with a postdoc who will work on simulating the optimal design of
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will: Develop robust control strategies that leverage semantic data structures for rapid deployment. Create workflows to bridge BIM, energy simulation engines (e.g., EnergyPlus, Modelica), and control
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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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SemperCycle and a post doc associated to the project. You will be based at DTU Chemical Engineering, at the CHEC research center in a dynamic international research environment. Responsibilities and
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accuracy of molecular simulation approaches for drug–excipient interactions and related host–guest inclusion systems, with particular emphasis on the statistical-mechanical foundations required for reliable