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into an interdisciplinary research environment given by the university institutes and the cooperation partners in industry and science. The advanced Manufacturing Engineering paradigm for next generation factories is
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Max Planck Institute for the Structure and Dynamics of Matter • | Hamburg, Hamburg | Germany | 5 days ago
Planck Research School for Ultrafast Imaging & Structural Dynamics (IMPRS-UFAST) is a joint venture of the Max Planck Institute for the Structure and Dynamics of Matter, Deutsches Elektronen Synchrotron
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. Faculties The Graduate Academy of the SC SimTech promotes excellence in postdoctoral and doctoral education across all disciplines of simulation science. Course language The course language is English
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matters Pick-up service General services and support for international students and doctoral candidates We provide you with support and services through the application/selection process and during
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University of Potsdam. Teaching language English German Languages English is the main language of instruction in the PhD and postdoctoral programme. Programme duration 8 semesters Beginning Winter and summer
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biomedical engineering, bioinformatics, biotechnology, molecular imaging and biomaterials. Training within the RegSci PhD programme takes place across three levels: students carry out their own research
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of one of the two annual PhD selection processes may begin doctoral work at any time during the following six months (usually 1 September of the same year and 1 March of the following year). The duration
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. Enhancers, DNA elements with binding sites for transcription factors, play a key role in this process. Recently, it has become clear that enhancer activity requires the formation of sub-micrometer-sized
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an emphasis on in vivo assays, animal models and state-of-the-art imaging tools Soft skills seminars on communication, presentation and other topics equally relevant for achieving success in both a scientific
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architectures and principles from Bayesian neural networks and biological sequence models, including large DNA and protein language models. The project also aims to develop a prototype federated learning