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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 13 hours ago
that members have to be involved actively in order to suggest, plan & guide these events, in collaboration with fellow students, the supervisor & the executive manager of the college. Furthermore, transregional
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performed within a reasonable period of time. The curriculum consists of lecture series, courses, and retreats. The doctoral researchers themselves organise poster sessions as well as retreats in order to
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will receive training in research methods, knowledge transfer, and teaching as well as practical work in patient health care and physical performance testing. Doctoral students will be awarded a PhD
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according to the main interdisciplinary research fields (clusters): Strategies and Factories' Development, Management of Global Manufacturing Networks, Information and Communication Technologies
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of Cape Town (UCT) and the University of California Irvine (UCI). Data and information engineering encompasses collecting, integrating, cleaning, storing, managing, and analysing raw data to support data
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Management, Core Facility Laser Microdissection, Patent Law, Career Planning and many more. Retreats, symposia, and meetings as well as excursions to pharmaceutical companies are also part of the curriculum
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System Research (Göttingen) Teaching language English Languages All mandatory courses in the curriculum are offered in English, and all examinations required can be performed in English. Additional
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administration, management, or related fields. The Master's degree should be completed before entering the programme. We especially encourage women and international candidates to apply. For more information on
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dissertation depends on the institute. For research subjects, please see our website: http://www.enwat.uni-stuttgart.de The ENWAT programme itself aims to prepare you thoroughly, as a doctoral candidate, for
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 2 months ago
? How can we manage, analyse and integrate complex, large-scale genomic, epigenomic, transcriptomic, translatomic, proteomic and metabolomic datasets to answer biological questions and generate new