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Field
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sensitivity and respect for diversity Desirable: Experience in cheminformatics, molecular modeling, or enzyme mechanisms Familiarity with databases, data mining, and knowledge management Why Join Us: Be part of
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fundamental ideas and bringing them into applications Detailed knowledge of quantum mechanics and experience with quantum information theory Ideally first experiences with random unitaries and/or classical
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-ethnic environment with sensitivity and respect for diversity Desirable: Experience in cheminformatics, molecular modeling, or enzyme mechanisms Familiarity with databases, data mining, and knowledge
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Degree PhD Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly
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structures encompass professorial supervisors, postdoctoral mentors and peer-group coaching. Our international participants benefit from tutorials and language courses especially designed to pave their way
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, genetic, molecular, cellular and organismal basis of infections and immune reactions. The projects are in the areas of pathogenicity mechanisms, pathogen-host interactions, pathogen-host co-evolution
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accelerates the discovery of new materials. The corresponding reaction mechanisms that are essential for understanding the underlying processes are examined. We work closely with various institutions and
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organised in five divisions: Biology, Chemistry, and Process Engineering; Informatics, Economics, and Society; Mechanical and Electrical Engineering; Natural and Built Environment; and Physics and Mathematics
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 19 hours ago
largest biomedical research institute. Around 500 PhD students in over 100 divisions and research groups carry out research to unravel the causes and mechanisms of cancer development and to identify novel
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the renewable energy colleagues at IMT Elucidation of the dominant separation mechanisms, to achieve both fundamental understanding and optimized process performance The PhD project will be predominantly