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Field
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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dysfunction Data collection, analysis, and interpretation using cutting-edge imaging and computational tools Presenting research findings at conferences, lab meetings, and through publications in high-impact
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Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
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Degree Dr rer nat Course location Bonn Teaching language German English Languages Courses are held in English. Workshops are held in English (80%) and German (20%). Programme duration 6 semesters
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knowledge of Python and FORTRAN programming, UNIX/Linux and shell script Knowledge in dealing with server-based computer structures and high-performance computers (e. g. HLRE at DKRZ) Confident handling
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student to join our DFG funded cutting-edge research project, which is focused on developing high-performance magnesium (Mg) alloys. The position is initially limited to 36 months (starting as soon as
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thesis projects are developed and supervised by two professors. Methods courses give opportunities to learn and perform new techniques. This programme cooperates with the Ruhr-Universität Research School
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Degree PhD; Dr rer nat; Dr rer biol hum; Dr med Course location München In cooperation with Stiftung Patient & Klinische Pharmazie Teaching language German English Languages The programme is mainly
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industry. The center offers an excellent working environment with access to state-of-the-art technologies and an outstanding high-performance computing infrastructure. For TUD diversity is an essential
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wet-lab and computational scientists, good communicative skills in English are essential. German language skills are not required. We Offer: Excellent framework conditions: state-of-the-art equipment