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in project management. For questions concerning any of the listed posts contact the spokespersons of TERRA, terra-adminspam prevention@uni-tuebingen.de . Joining TERRA, you will be member of a
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certificates as well as a list of publications and teaching to the Dean of the Faculty of Languages and Literatures (LMU Munich, Geschwister-Scholl-Platz 1, D-80539 Munich, Germany), preferably via email in one
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, disabled candidates will be given preference. Please upload complete application documents (cover letter, curriculum vitae, certificates, list of MSc courses and grades, copy of the master thesis, reference
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for autonomous drone systems Multi-agent cooperation using Reinforcement Learning and control barrier functions Mission planning for aerospace systems using evolutionary algorithms and Reinforcement Learning
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. Master's degree certificate and corresponding transcript of records. In some Key Subject Areas: further subject-specific requirements as listed in the application portal. If already applicable: copy of your
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letter, CV, list of publications, transcripts, PhD thesis, and contact information of at least two references, and a research statement of max 3 pages, where you describe your previous achievements and
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. Complete applications in English should include a cover letter, a CV containing a complete list of publications, a brief statement of research experiences, a certificate of study / transcript of records, and
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. med. Dimitrios Mougiakakos at 0391-67-13266. Your application: Application closes on 29.08.2025. Please send your application documents as a merged PDF file (including letter of motivation, CV, list
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professional experience, a list of academic publications, copies of certificates, a description of your research profile and the resulting perspectives for the University of Duisburg-Essen, a teaching and
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. Because of the specific structure of the inference problems occurring in metabolic models, direct application of these MCMC algorithms is, however, not possible. In this project, you will bring MCMC methods