46 data-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" PhD research jobs in Germany
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systems engineering approaches. The Institute for Software and Systems Engineering (ISSE) is one of the two computer science institutes at TU Clausthal, hosting several research groups. For more information
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basis through January 30, 2026 . For additional information on the projects and the position, please contact Maria Vrachioli, Ph.D. (maria.vrachioli@tum.de ) or Dr. Fabian Frick (fabian.frick@tum.de ). As
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, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, sta-tistics, machine learning
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fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent Network on international and national basis offers a perfect start for a
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information at: http://www.ifw-dresden.de . The Institute for Metallic Materials (Prof. K. Nielsch) of the IFW Dresden offers a Post Doc Position (m/f/div) on the following topic: Project Coordination and Build
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Gräfnitz, Leibniz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany. Application deadline: 22.11.2025 Details: https://www.uni-hannover.de/en/jobs/id/8095/ Application Materials Required: Submit
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privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https
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29, 2026 . For additional information on the projects and the position, please contact Maria Vrachioli, Ph.D. (maria.vrachioli@tum.de) or Dr. Fabian Frick (fabian.frick@tum.de) . As part of
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working hours is generally possible, taking into account the interests of the company. For more information about the position, please contact Prof. Dr. Hendrik Drachsler at e-mail address h.drachsler
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven