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Field
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a multidisciplinary research team focused on developing energy-efficient and fault-tolerant AI systems that can operate reliably in the radiation-rich environment of space. The project integrates
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unfulfilled. This work has the potential to introduce greater onboard autonomy, thereby enhancing mission reliability and the satellite's nominal operational capabilities. Scientifically, you will in particular
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discussed during the interview. Onsite location: University Office Plaza, 2221 University Ave SE, Minneapolis, Twin Cities Campus - East-bank. The successful candidate is expected to have access to a reliable
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cleaning-in-place (CIP) system for efficient and reliable equipment cleaning. -In this position, you will collaborate with a highly interdisciplinary team within the University of Minnesota and partner
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independence Design and lead your research project, but with sufficient guidance and mentoring Direct the work of small research teams Ensure the validity and reliability of data Maintain accurate and complete
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This position requires the following: • A PhD in engineering, operations research, or a related field. • A proven track record of independence and a strong enthusiasm for interdisciplinary research in energy
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the foundations for reliable decision support and Monitoring, Reporting, and Verification (MRV) systems for reducing greenhouse gas emissions in Danish agriculture, particularly exploring conditions for the uptake
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analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
proposals. Minimum Education and Experience Requirements PhD in biomedical field or related field of study. Required Qualifications, Competencies, and Experience The ability to work as part of a team and
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on reliability, security, and resilience of microgrid systems. This includes advanced control system design, modeling and analysis, control architecture design and communication-based control and optimization