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Field
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decision made by combinatorial optimizer in a human-understandable way. This can range from explaining why a problem has no solutions, to explaining why a solution is optimal, or why a problem has a
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the scope of your work, as well as the opportunity to further develop yourself through training and education. The planned start date is 1 November 2026 or as soon as possible after that date. Your monthly
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to predict traffic demand, user mobility, and network conditions, enabling autonomous decision-making that maximizes network performance and user experience. A unique aspect of this research is the integration
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design decisions. Existing design assessment tools, such as disassembly oriented metrics (e.g. Re DiM), remain limited in scope, primarily addressing disassembly while neglecting other critical activities
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investigate neutrino oscillations—including the determination of the neutrino mass ordering—with the ORCA detector. Both detectors also record enormous numbers of atmospheric muons from cosmic-ray air showers
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Hiring Range Commensurate with experience Proposed Start Date 10/05/2026 Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Hiring Range Commensurate with experience Proposed Start Date 10/05/2026 Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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resume that outlines your educational and work experience. These details are used to determine if applicants meet the qualifications of this position. 2. Names and contact information for three
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an important tool for achieving multiple societal benefits and environmental goals. Through anaerobic digestion, a wide range of organic waste streams and residues can be treated while simultaneously closing
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position to develop a cutting-edge AI decision-support tool for predictive maintenance and optimization of building energy management systems and technologies (i.e., Heating, Ventilation and Air