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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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- into a GPU-enabled and parallel code to run efficiently on state-of-the-art exascale hardware Designing implementations and reviewing community contributions of library features and new statistical
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partners (ITU, WMO, UNEP, UNFCCC, and UPU) to support the development of international standards for the use (and development of policy around) AI in disaster management. In parallel, Fraunhofer HHI is
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, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and automatic code optimization
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the REACT Doctoral Network. In this context, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and
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research funding • Strong organizational and management skills, with the ability to manage multiple tasks in parallel • Excellent analytical skills and ability to present interdisciplinary research
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of Parallel computing Independent, goal-oriented and responsible working style What you can expect Insight into exciting research projects Cutting-edge research thanks to top technical equipment Practical
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Start your online nomination or continue your nomination in "My Humboldt" Start online nomination Continue nomination Germany's most valuable research award The Humboldt Professorship is financed by the Federal Ministry of Education and Research. It enables the holder to conduct...
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Exploiting quantum systems with more than two energy levels (qudits) Scaling compilation approaches to utilize the processing power of parallel systems/supercomputers To learn more about our previous work