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and meteorological modeling. Experience running or maintaining operational/automated forecast systems. Experience applying machine learning methods to air quality or geophysical data (e.g., forecast
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to the university’s staff benefits, including the opportunity for flexible multi-location work excellent opportunities for professional development and continuous learning extensive occupational health care a broad
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the faculty director to share their work, and monthly meetings with faculty fellows from various social sciences to present their work and learn from others. Fellows are also encouraged to engage with
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better?from alternative energy to better food safety to breakthrough medical and environmental applications achieved through rare isotope research.We teach. We explore and we discover. We collaborate and
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(postdoc) Reference no.: 5955 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about
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, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, Computer Science, Data Science, Artificial Intelligence, or a closely related field by the start date of employment. Demonstrated research experience in artificial intelligence, machine learning, or a
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on the computational characterization of strongly correlated materials, with potential applications for quantum computing. Besides research, the candidate is expected to design and teach courses in German, at
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infrastructure that will decrease energy use, support improved learning environments, improve indoor air quality, and strengthen classroom environments with reliable energy solutions. To date, through competitive