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(e.g. econometrics, statistics) interest in natural resources, agriculture or the general food system and related technology a high motivation and the ability to work independently with a strong team
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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. The Institute of Turbomachinery and Flight Propulsion is pursuing research in technologies of future aero engine architectures for the next generation of aircraft. In this context, the development
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the research areas of Infection Medicine and Microbiology, Immunology, Oncology, Neurosciences, Pharmacology/Cardiology/Vascular Medicine, Imaging Technology and Biomedical Engineering, amongst others. A large
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/ double degree programme No Description/content The Berlin International Graduate School of Natural Sciences and Engineering (BIG-NSE) is an international doctoral programme that was established in May 2007
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13.04.2021, Wissenschaftliches Personal The chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for an excellent candidate for a
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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to obtain a doctoral degree in aeronautics at the Technical University of Munich or the University of the German Armed Forces Munich. Academic Requirements degree in a subject related to aerospace technology
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Max Planck Institute for Software Systems • | Kaiserslautern, Rheinland Pfalz | Germany | about 21 hours ago
of medicine, biology, chemistry, physics, technology, and the humanities. Since 1948, MPI researchers have been awarded 21 Nobel Prizes, which testifies to the quality and innovation of MPI research programmes
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams