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; - knowledge of Russian or Ukrainian would be of asset; - familiarity with historical/ archival materials on Imperial and soviet Russia would be an asset. Please direct your questions to Prof. Dr. Alexander
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, including your letter of motivation, CV, and academic transcripts of records, preferably in English. Please indicate “SAW-OA-PoC Application” in the subject line. For any question, please contact: Prof. Dr
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Theater and culture: special events, discounts and vouchers Application and Contact: Please send your application materials as a single PDF file to Prof. Dr. George Cutsail, george.cutsail@cup.lmu.de, using
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) at the Chair of Business Administration, in particular Accounting, Auditing & Corporate Governance (Prof. Dr. Patrick Velte), the university is looking for responsible, motivated and committed individuals
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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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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 10 days ago
Assistant position, with the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute
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protection notices of TUM. Technische Universität München Lehrstuhl für Turbomaschinen und Flugantriebe Prof. Dr.-Ing. Volker Gümmer Sekretariat, Frau Delphine Hase Boltzmannstraße 15, 85748 Garching bei
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Description Within the Collaborative Research Center “Wave phenomena – analysis and numerics” (CRC 1173) we are currently seeking to recruit, as soon as possible, a Doctoral Researcher (f/m/d – 75 %) in Mathematics for the project “Quantized vortices and nonlinear waves” The CRC has been funded...
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; Individualized mentoring A qualification program tailored to academic as well as professional career paths. The positions are limited up to 3+1 years, starting 1 April 2026; salaries are predicated on the German
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta