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08.04.2022, Wissenschaftliches Personal Development of Lattice-Boltzmann solver, programming in C/C++ and CUDA, implementation on GPU cluster, testing of real-time capable software on flight
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The landscape of mRNA 5′ cap modifications is more diverse and dynamic than previously appreciated. This project aims to develop and apply a novel chemo-enzymatic method to label and extend the 5′ cap, enabling
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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Job Id: 11082 Limited to 3 years | Part-time with 65% | Salary according to TV-L E13 | Department of Medicine A - Hematology, Oncology and Pneumology We are UKM. We have a clear social mission and
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dynamic, interdisciplinary, and international research community at the TUM Garching campus. TUM’s Department of Mathematics is part of the TUM School of Computation, Information and Technology (CIT
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(HaDEA) is a collaboration under the leadership of the Instituto de Desenvolvimento de Novas Tecnologias (UNINOVA) in Lisbon and includes collaborations within the FUB and internationally. As part of
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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for research and AI-supported educational applications Coordination and establishment of a pool of student assistants for labeling data and providing training data Development and provision of specific AI models
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 9 hours ago
Degree PhD or (if applicable Dr rer nat) Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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Your Job: As part of a collaborative research project funded by the Federal Ministry of Research, Technology and Space (BMFTR), and conducted in cooperation with academic and industrial partners