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Australian National University | Canberra, Australian Capital Territory | Australia | about 21 hours ago
to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
Learning for Natural Language – Led by Prof Lexing Xie, this stream applies machine learning to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human
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University, Polytechnique Montreal, University of Calgary, UBC and The University of Victoria). There are 21 Canadian and international companies in the consortium. CANRIMT 3 is led by Prof. K. Erkorkmaz
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for UNMC Employees Only) Job Title Research/Ag Specialist Salary Grade RA23S Appointment Type B1 - REG MGR PROF SALARY Salary Range $60,500 - $90,800/annual Job Requisition Begin Date 07/23/2025 Application
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Learning, Algorithms, Noise Handling (Error Correction/Mitigation), and Verification. These roles are part of the Quantum Software Lab (QSL, link: https://www.quantumsoftwarelab.com ), in collaboration with
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: TRR408-A7 Investigators: Prof. Dr. Ostap Okhrin, Chair of Econometrics and Statistics esp. in the Transport Sector and co-supervised by Prof. Dr. Kai Nagel, Chair of Transportation System
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for Artificial Intelligence (FCAI), ELLIS Institute Finland, and Aalto University House of AI, invites applications for multiple postdoctoral positions. Our team works actively to develop intelligent robotic
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Networks, and ICT Services & Applications. Your role The APSIA Group (Applied Security and Information Assurance), led by Prof. Peter Y A Ryan, has recently been granted the project "Quantum LDPC codes with
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Technology of China (UESTC) Multiple postdoctoral positions are available at the Institute of Fundamental and Frontier Science (IFFS), University of Electronic Science and Technology China (UESTC) located in
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques