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science, physics, computational science or similar, with experience in modeling and simulation Strong understanding of the (computational) mechanics of solids and the finite element method and/or spectral
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collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational modeling and simulation, as well as patient-focused and policy-related
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, many material properties are still only poorly known. We offer to contribute to the ongoing research in this fascinating region. Especially, we are looking for somebody to simulate seismic wave
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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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to ensure robust and efficient energy conversion in challenging environments. The work will combine analogue/mixed-signal IC design, system-level modelling, and experimental validation of fabricated
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candidate will gain training in chemical biology, molecular genetics and cell biology, and use physiologically relevant in vitro and in vivo models. The work will be carried out in an interdisciplinary
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environments. Access proprietary market data and institutional infrastructure, including cutting-edge computing environments and live market simulation tools. Translate research into production, contributing
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, you will benefit from the combined expertise in quantum algorithms and materials simulations at the institutes PGI-12 and IET-3. Thereby, Forschungszentrum Jülich will provide you with an ideal
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-connectivity Communication system modelling, performance analysis, and simulation. Optimization tools and machine learning techniques. Hands-on experience with software-defined radios (SDRs) and/or
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the reach of traditional molecular simulations. Therefore, this project will apply adaptive kinetic Monte Carlo simulations to model zeolite formation as a dynamic network of growing and dissolving clusters