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| Singapore Employer Nanyang Technological University, Singapore Location Singapore (SG) Salary Competitive Closing date 26 Oct 2026 View more categories View less categories Discipline Chemistry , Computing
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The Human Centered Computing Section at the Department of Computer Science, Faculty of Science at the University of Copenhagen invites applicants for a PhD fellowship on Street-level Bureaucracy of
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PhD in Quantum Computing for Power Systems Apply Vacant position PhD in Quantum Computing for Power Systems Aalborg Deadline : 30.10.2026 Department: Department of Energy Ref number: 2026/1211
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university, and has natural collaborators in the Luddy School of Informatics, Computing, and Engineering, home to the Luddy Center for Artificial Intelligence and its focus on AI for digital health, as
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Biomedical and Clinical Sciences, please follow: https://liu.se/en/organisation/liu/bkv The Department of Cell and Neurobiology (CNB) comprises 100% of the workplace where we conduct research as well as
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Department of Biomedical and Clinical Sciences, please follow: https://liu.se/en/organisation/liu/bkv The Department of Cell and Neurobiology (CNB) comprises 100% of the workplace where we conduct research
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Overview The project will be undertaken within the MIND Research Group ( https://www.physics.ox.ac.uk/research/group/magnetism-intelligent-devices-mind ) in the Department of Physics at the
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Overview The DPhil project will explore next-generation neuromorphic computing technologies that exploit the natural dynamics of physical systems to perform brain-inspired information processing. The
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fleet can act as one Virtual Power Plant. Read more about the project and other participants here: https://aegis-dn.eu/ Your role: You will be working on “End-to-End Energy Modeling for Distributed AI
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
perioperative datasets. Experience deploying models in real-world or real-time settings, including efficient inference or edge computing. Interest in trustworthy AI for healthcare, including uncertainty