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Description Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) in the Experimental Toxicology and ZEBET department of the German Federal
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Development). Selection As a first step, all applicants must submit a complete application for the programme via the DAAD Portal. Please be aware of the DAAD’s application deadline as well as the National
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the goal of obtaining a doctorate. It is based in the newly established Animal Neurophysiology group (Prof. Münch) at the Institute of Animal Physiology, at the Faculty of Biology and Chemistry. The salary
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available in the further tabs (e.g. “Application requirements”). Objective This programme offers former scholarship holders the opportunity to carry out research and working projects in Germany and to
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Alfred Toepfer Stiftung & Studienstiftung des deutschen Volkes: You and Europe Scholarship Programme
of opposing beliefs and cultural diversity. The programme was developed by the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes) and the Alfred Toepfer Stiftung F.V.S. and will be
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-Landau in close cooperation/mentoring with Prof. Dr. Herman Jungkunst and other institutions across Europe, e.g., Ghent University, Belgium or Agroscope, Switzerland. The NitroScope project aims to develop
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The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD position in the area of automatic formal verification of cyber-physical systems
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The following main research goals are pursued by this Center: (1) develop a new set of
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Description The Institute of Systems Biotechnology (Director: Prof. Dr. Christoph Wittmann) stands for excellent research at the interface of biotechnology, systems biology, and sustainable resource
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms