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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | about 10 hours ago
not required to be admitted, but German language courses are offered for free for interested PhD students. Full-time / part-time full-time Programme duration 8 semesters Beginning Only for doctoral
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Degree Dr rer nat Dr phil (provided by respective university) Course location München In cooperation with Technische Universität München (TUM) Teaching language English Languages For most events
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and eager to learn. In our international working environment there is an increasing amount of communication in English. For this position it is about language level C1. In case you don't speak Dutch
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1st July 2025 Languages English English English The Department of Chemical Engineering has a vacancy for a PhD Candidate in absorption-based CO2 capture Apply for this job See advertisement This is
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degree in computational engineering, mechanical engineering, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural
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experience. Knowledge of quantitative and qualitative research methods highly desirable. Proficiency in a language other than English is highly desirable. Evidence of journal or conference publications
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-Zentrum Moderner Orient Teaching language English Languages 100% of the courses are held in English. Programme duration 6 semesters Beginning Winter semester Application deadline Usually 31 January
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courses during studies (free of charge) List of doctoral programmes and other offers Programme Faculty of Biology and Psychology Biology Thematic programmes Behaviour and Cognition Biodiversity and Ecology
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forms from land via inland waters to sea. You will synthesise, test, and use the reported methane kinetics from labs and culture experiments to construct the model using Python programming language. You
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, mechanical engineering, physics or similar basic programming skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g