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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding
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conventional design methods Your profile: Completed master's degree in computer science, mechatronics, or electrical engineering. Knowledge of AI/ML methods and frameworks (e.g., PyTorch, TensorFlow). Knowledge
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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the Job related to staff position within a Research Infrastructure? No Offer Description At University of Siegen, Faculty IV "School of Science and Technology", ETI, Embedded Systems, we are looking
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in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Konrad Zuse School of Excellence in reliable AI (relAI) offers fully funded
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related to staff position within a Research Infrastructure? No Offer Description We seek: In the Faculty IV: School of Science and Technology, ETI, Embedded Systems, we are looking for a researcher as of
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management of bridge portfolios. You will create tools that transform complex data into reliable insights for infrastructure safety and sustainability. The project is a collaboration between the Engineering
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demonstrate a high level of motivation, initiative, problem-solving skills, and a willingness to familiarize yourself with a wide range of tasks. You are characterized by your teamwork skills, reliability