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-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
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planning methodologies and in mathematical optimization techniques We are looking for first-class graduates with expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and
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the graduate school of the Faculties of Natural Sciences and Mathematics: Georg-August University School of Science (GAUSS). The official language of the PCS programme is English (i.e. German is not necessarily
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embedded in the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) (http://www.logdynamics.de ). LogDynamics is a cooperative network of research groups from five different departments
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/teamCountryGermanyGeofield Contact City Ilmenau Website https://www.tu-ilmenau.de/en/university/departments/department-of-mathematics-and-natural-sciences/profil/institutes-and-groups/institute-of-physics/profil/group
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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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to their limits, and explore how they can be used to optimize the manufacturability, efficiency (>99.9%) and LIDT > 1J/cm2 for sub-ps pulses, of the final gratings. In parallel, the fellows will be provided with
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computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon, Geesthacht, Germany, with PhD degree awarded by Kiel
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equivalent) in physics, computer science, mathematics, data science, computational science, and cognitive science Very good programming skills (e.g., in Python, C++, or comparable languages) Ideally, initial
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conferences and participation in project workshops in Wuppertal and Groningen (NL) Your Profile: Completed university degree (master`s or equivalent) in physics, computer science, mathematics, data science