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computing, domain-specific multi- and manycore architectures, networks-on-chip (NoCs), methods and algorithms for application parallelization, simulators and virtual platforms for application- and
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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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computational models with the "exact" but lower resolution information available from experiments. Job description: Application of specially developed approaches to define for transferable force-fields with
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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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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• Programming skills, especially in the field of scientific computing and data analysis and web presences • Knowledge of data processing, network architectures and operating system environments. • Good knowledge
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of Scientific Collections (DiSSCo)) Strategic and thematic conception of the data architecture and data flows (with a focus on research data), with consideration of national and international standards and
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extension, in the programme area "Next-Generation Horticultural Systems" (HORTSYS), in the research group "Open Field Horticultural Systems" within the EU-HORIZON project NitroScope - "Scoping European N
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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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of this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture