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at https://uscjobs.sc.edu. Position Description Advertised Job Summary The Finance Department at the Darla Moore School of Business, University of South Carolina, invites applications for a high-potential
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
and contribute to a positive research group environment. The candidate is required to have experience with DFT calculations and a strong publication record. Experience with quantum defects and/or
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Cybersecurity, Embodied AI, Quantum Computing, Smart Financial Technology and Green Computing. OUR CORE RESEARCH AREAS · Artificial Intelligence & Data Science o Data Management & Mining, including
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Link https://www.ubjobs.buffalo.edu/postings/59459 Employer State Faculty Appointment Term Term Position Type UUP Faculty Bargaining Unit Posting Detail Information Fiscal Year 2025-2026 Position Summary
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machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing. This position is with KRI at Northeastern University, LLC, a wholly-owned subsidiary of NU
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07.12.2022, Academic staff The institute for communications engineering offers a position for a doctoral or young postdoctoral candidate with the topic “Communication and coding in quantum networks
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applications of Al, and monitoring evolutions of advanced technologies, such as quantum computing, to explore their suitability for space applications. Duties As a Junior Professional, you will be expected
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for Radiopharmaceutical Sciences (https://www.crs.ethz.ch) Hilfsassistenz der Gastprofessur für italienische Literatur und Kultur (m/w/d) 10%, Zürich, befristet 29.07.2026 | Departement für
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research areas are Photonic Materials and Devices, Quantum Optics & Spectroscopy, Biomedical Photonics, Optical Systems, and Solar Energy. All research areas are strongly interlinked and most institutes
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, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim at supporting computational thinking and computational problem-solving in the Earth sciences