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academic guidance from thesis advisory committees. Comprehensive and structured PhD program in English. Individual career mentoring programs & coaching, courses in state-of-the-art methods & soft skills
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to teach in German and English We offer: opportunity to work in an international environment participation in scientific exchange programs and short research stays abroad membership in the Graduate Academy
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fundamental mechanisms of life? The International Max Planck Research School (IMPRS) “From Molecules to Organisms” invites motivated young scientists to join a world-class, fully funded PhD program that
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interdisciplinary research, demonstrated academic excellence, creativity, motivation, teamwork skills, and proficiency in English. Application Process Applications for both programs must be submitted online by
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of responsible electronics in an ecologically, economically, and socially sustainable manner. In a range of research and academic programs, REC² unites the natural and engineering sciences with the humanities
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(at least finished before July 2025) very good programming skills and AI/ML knowledge good written and spoken English skills (CEFR level C1 or higher) We offer: cutting-edge research in data science and
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methods Good knowledge of object orientation and at least basic knowledge of UML Knowledge of minimum one programming language (e.g. C++, Python, Java) Experience with the Robot Operating System (ROS) Good
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%, currently 29.85 hours/week). The position is funded by the German Research Foundation (DFG) within the CRC 1286 “Quantitative Synaptology” until 30.06.2029. Within this project, and in a collaboration with
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of Position Full PhD Working Language English Required Degree Final examination Bachelor Areas of study Financial Management, Insurance, Economics, Accounting, Taxation, Controlling, Economic Sciences
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity