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simulation-based methods to assess how changes in waste management processes can support compliance with certification standards, such as the Voluntary Sustainability Class The project is also grounded in
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and accelerating simulations, one-shot design and inverse design in power electronics systems and components, Multi-physics modeling using open-source simulation environments (e.g. FastFieldSolvers
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copy of a recent transcript of records or a written statement from the institution or supervisor is accepted. Publication list (if possible) Reference letters (if available) The deadline for applications
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: For technical reasons, you must upload a project description. Please simply copy the project description above and upload it as a PDF in the application. Qualifications and specific competences: Applicants must
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AI can be incorporated into the building design and operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback
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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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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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simulation-assisted performance feedback regarding initial design concepts. We will explore how AI systems can augment professionals’ creativity toward concurrent optimization of human health and energy
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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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. 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