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Field
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fundamental research and experimental working. Strong skills in VR, psychophysics, or computer simulation are another advantage Job requirements: The position is designed to encourage intersectoral and
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technology and/or computer graphics as well as interest in fundamental research and experimental working. Strong skills in VR, psychophysics, deep learning or computer simulation are another advantage Job
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Your Job: In this position, you will be an active part of our "Simulation and Data Lab Applied Machine Learning". Within national and European projects, you will drive the development of cutting
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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance
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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance
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of double-strand breaks, copy-number alterations, and other structural genome changes. Our group combines cutting-edge genome biology approaches with quantitative, multi-omics analyses to uncover
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potential projects: Development of modern auto-differentiation (JAX-based) physics simulators for the discovery of new physics experiments) Developing, benchmarking and advancing state-of-the-art AI-driven
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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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approaches for the integration with the digital twin for regenerative agriculture Perform scenario simulations and analyze simulation results Present and publish results at conferences and in peer-reviewed