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Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys ). The PhD position is focused on efficient algorithms for the simulation of non-adiabatic exciton transfer dynamics in light
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to do a PhD and why you are suitable for this position. CV (max 2 pages) A certified copy of your master's degree and your course grades. Copies (or drafts) of your master's thesis and other documents
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
to do a PhD and why you are suitable for this position. CV (max 2 pages) A certified copy of your master's degree and your course grades. Copies (or drafts) of your master's thesis and other documents
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
page) in which you describe yourself, why you want to do a PhD and why you are suitable for this position. CV (max 2 pages) A certified copy of your master's degree and your course grades. Copies
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suitable for part-time employment. Starting date: 17.10.2025 Job description: Design, develop and apply an flexible and integrative multiscale FWI using GPU-accelerated spectral-element simulations (Salvus
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
. Your application must include: A short cover letter (up to 1 page) in which you describe yourself, why you want to do a PhD and why you are suitable for this position. CV (max 2 pages) A certified copy
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) at Heidelberg University, the following position (75%) for up to 3 years is to be filled by 01.01.2026. PhD position in Vector-Borne Disease Modelling (f/m/d) The place of employment is Heidelberg, in the Climate
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process
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-language models, or diffusion models to simulate and design complex urban traffic environments? Do you want to shape the next generation of data-driven mobility intelligence with your creative ideas and