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Field
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, energy systems, computational engineering, or a related field Strong background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas
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for candidates with: A strong BSc and MSc degree in computer science, machine learning, mathematics, physics, engineering, or a related field Strong foundations in machine learning and deep learning Experience
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mechanical engineering, computer science, or human factors engineering, with an overall grade point average better than 2.5 Very strong design skills (e.g., CATIA, SolidWorks, Autodesk, or comparable) and
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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 oriented
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) Application Deadline 1 Sep 2026 - 10:50 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 6 Aug 2026 Is the job funded through the EU Research Framework Programme? Not
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
Researcher (R1) Application Deadline 30 Sep 2026 - 15:14 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in
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Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human
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Science, Mathematics, Advanced Information Science and Engineering, or a related field prior research experience (publications, theses, projects) in the above-mentioned research areas is a strong plus