17 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "Dr" PhD positions at Nature Careers
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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the junior research group Robotic-assisted Discovery of Antiinfectives of Dr. Luzia Gyr: https://www.leibniz-hki.de/de/robotikgestuetzte-entdeckung-von-antiinfektiva.html# we are working towards both combating
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular
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Research Program RTG3120 on Biomolecular Condensates (https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared training activities, and supervision by
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to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, the Junior Professorship in Applied Mathematics offers a position as Research Associate / PhD Student (m/f
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focus on healthcare, research, and teaching, we bear a unique responsibility. The position is linked to the research group of Prof. Dr. Guiscard Seebohm (IfGH-Cellular Electrophysiology and Molecular
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the network training as secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen
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. 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 feature and a
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events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion
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build a computational model of SIHUMIx to predict new interactions and how the community reacts to disturbances—predictions that will later be tested in bioreactor experiments This work will give us a