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30.04.2025 Application deadline: 17.06.2025 The Institute for Historical Regional Studies and Historical Ancillary Sciences at the Faculty of Humanities at the University of Tübingen invites
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on biodiversity and its change, we are advancing the further development of our extensive scientific collections with an international team and state-of-the-art technology. With our exhibition, knowledge transfer
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Completed scientific university degree in engineering or natural sciences, computer science, or a degree program that includes aspects of these disciplines, or at least 5 years of professional experience in
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available in the further tabs (e.g. “Application requirements”). Objective The aim of the programme is to enable graduates and doctoral candidates from Mexico to obtain further qualifications in Germany
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well as technology-based, psychological assessment Good knowledge of item response theory Proficient use of statistical software (particularly R) Publication experience in English, peer-reviewed journals
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to the partner laboratories. Requirements: university and PhD degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills
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(bioinformatics, computer science, genetics, or a related field) Excellent advanced scientific degree (PhD) in bioinformatics, computer science, computational biology or a related STEM field; prior working
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 4 days ago
. Previous experience collecting behavioral data on primates or social animals in natural settings. Background knowledge on animal behavior and statistical analysis. Experience with the scripting program
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design, including components, configurations and basic engineering considerations high self-motivation very good command of written and spoken English good PC skills capacity for teamwork and
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Preparation and documentation of results What you bring to the table You are studying mechanical engineering, industrial engineering, computer science or a comparable subject You have good knowledge of Python