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of the IMPRS reflects the development of molecular genetics into an information science, based on the plethora of experimental data that are nowadays available and steadily being produced about cellular
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) the European Southern Observatory (ESO) Together, we form one of the largest centres of astrophysical research in the world, covering every subject from planets, stars, galaxies and cosmology to the development
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://www.enwat.uni-stuttgart.de The ENWAT programme itself aims to prepare you thoroughly, as a doctoral candidate, for your dissertation research through classes and workshops taught by faculty or guest lecturers
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of the partnerships and to the development of new cross-disciplinary connections between the PIs, doctoral candidates and postdocs from KIT and Heidelberg University. Application Find open positions here: Open
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physicians and scientists cooperate to study human diseases and develop innovative strategies for diagnosis, prevention, and therapy, supported by strong intramural programmes for career development. MHH’s
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supported by a collection of emerging technologies according to the main interdisciplinary research fields (clusters): Strategies and Factories' Development, Management of Global Manufacturing Networks
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 6 hours ago
qualification programme that is tailored to the specific needs of PhD candidates. You may choose from a wide array of workshops and courses that support you during the doctoral phase and prepare you for your
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of peace and security as well as stability and development – not only in Africa. Globalisation processes, including colonisation, de-colonisation, the end of the Cold War, effects of 9/11, the 2008 economic
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Joint degree / double degree programme No Description/content Our aim is to train a new generation of biomedical scientists who can take on the diverse challenges of making fundamental scientific
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry