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modern machine learning, with broad implications for both theory and applications. The PhD project focuses on the theoretical foundations and algorithmic design of discrete gener- ative models, situated
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the Behavior, Rights, and Well-being research area, to which the PhD candidate will be affiliated. “Competition and Algorithms: adoption, impact and transparency” : The PhD project is embedded in a
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project, referring to FIS section 1.1 “Algorithms, metrics and models”, aims
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exploitant un ordinateur quantique, fondés notamment sur les réseaux arithmétiques et les codes correcteurs — problèmes réputés robustes face aux algorithmes quantiques connus. Les instances génériques
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on the development of innovative tensor network methods to support the design, analysis, and optimization of quantum and quantum-inspired algorithms. Theoretical and computational tools will be developed
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, they have the potential to solve certain computational problems far more efficiently than classical machines. Realizing this potential requires entirely new numerical algorithms that combine advances in
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The job information is shown below. Please click on the links to see full details. Applications are invited for the position of Research Fellow in Algorithmic Sensing for Music to create a new
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offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ The research fellow will work closely with PI Patrick Rebentrost on developing novel quantum algorithms and
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10th August 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Algorithms Apply for this job See advertisement UiB - Knowledge that shapes society UiB shall be among
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Mission: Support research to improve the management of renewable energies. Functions to be developed: Develop machine learning algorithms. Implement and validate computational models. Plan networks with