869 embedded-system-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Nature Careers
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context. Embedded in a dynamic academic environment, the Institute pursues theoretically rigorous and empirically grounded research in international business and is strongly committed to excellence in
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outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery
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and ecosystem outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate
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) uncertainty-aware AI models embedded in digital twin workflows that fuse laboratory and online plant measurements to predict remaining useful life (RUL) and support risk-based inspection, maintenance, and
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focus on healthcare, research, and teaching, we bear a unique responsibility – ideally with you on board! The position is located in the research group of Timo Strünker (Molecular Reproductive Physiology
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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves
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solutions to solve some of humanity’s most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate
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at the Institute of Medical Informatics within the research group “Medical Data Integration Center (MeDIC)” led by Dr. Michael Storck and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles
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on translational reproductive genetics and is embedded in the DFG-funded Collaborative Research Centre 1748 ‘Principles of Reproduction’. The CRC 1748 involves scientists of the University, University Hospital, and
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– ideally with you on board! The position is located in the research group of Prof. Frank Tüttelmann working on translational reproductive genetics and is embedded in the DFG-funded Collaborative Research