56 moeling-and-simulation-post-doc PhD positions at Technical University of Munich in Germany
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16.08.2023, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant
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, IELTS/ TOEFL/GRE certificates if available, other certificates) by September 30, 2025, as a single PDF document via e-mail to jobs.udsm@mgt.tum.de (contact person: Ms. Elke Kröber) using the subject “PhD
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”. Please submit your application exclusively by e-mail with the subject line “Application Alpine Center” no later than 05 October 2025 to Prof. Dr. Menzel (sekretariat.ecoclim@ls.tum.de). For questions about
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to run simulations. The work will entail conducting analyses and presenting the results through peer-reviewed publications. What we expect from you: • University degree (M.Sc.) in Agricultural Science
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/research/research-sections/section-ii/. Please send your application, including a comprehensive CV and transcripts as well as names of three potential references, as a PDF file and stating the reference
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to the following programs and mention Niki Kilbertus as possible supervisor: If you plan to start before May 2026 (and only then), send your application as a single PDF in English to niki.kilbertus@tum.de with
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its staff; applications from women are therefore expressly welcomed Contact Please send your digital application, consisting of a complete CV and a concise motivation letter, as one PDF named
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
), 30 days of paid vacation, and full access to health insurance and social benefits. The working environment is international, supportive, and highly interdisciplinary. To apply, please send a cover
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women to apply. Severely disabled persons will be given preference in case of equal suitability and qualification. Please send your complete written application (cover letter, curriculum vitae, high
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: • Development, application and validation of innovative methods for condition monitoring and prediction of failures in aircraft and helicopter components. • Processing and analyzing large data sets. • Simulation