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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
science departments and curricula in the College of Arts and Sciences. It is a major teaching department with more than 30 tenured/tenure track faculty, nine research faculty, and 28 adjunct faculty, who
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the development of transport systems that integrate safety, energy efficiency, driving experience, artificial intelligence, and automation across the road, rail, aviation, and maritime sectors. Through our research
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willingness to share your expertise and develop new technical competencies that translate fundamental research into practical applications. Special emphasis will be placed on your documented track record
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Track A00 Track Level FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary This is a two-year, 9-month
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Postdoctoral Teaching Fellow (non-tenure track) with an anticipated start date of August 1, 2026. Primary responsibilities will include teaching the equivalent of eight courses per year (four per semester) and
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methods, risk and reliability, stochastic control processes, dynamic programing, deep reinforcement learning. Strong track record in scientific contributions supported by peer-reviewed publications. Strong
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
project consortium. EduTrack: Tracking Education Pathways and Social Policies is a 6-year interdisciplinary project between the MPIDR, the Max Planck Institute for the History of Science, the Max Planck
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environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple
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, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local
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. Experience applying machine learning to networking problems, for example, reinforcement learning, graph neural networks, or uncertainty quantification. A track record of publications in leading networking