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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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, computer science, data science, or similar · Strong publication record in peer-reviewed conferences and/or journals · Experience applying machine learning methods (especially deep neural network approaches
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for teaching theory of science and ethics for PhD candidates at the University of Bergen in collaboration with the faculties. The Centre also hosts University of Bergen’s Master’s Programme in Sustainability
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, independent research programme through a three-year Research Fellowship. We are seeking driven researchers with a strong and growing track record who will enhance and extend the Centre’s existing research
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Engineering » Electrical engineering Engineering » Control engineering Physics Mathematics Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description INFANT Research Centre is now accepting
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Application Deadline 15 May 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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focuses on a host of Interdisciplinary Research Programs, Flagship Programs, Consortium Platform and an Accelerator Programme that covers the energy value chain from generation to innovative end-use
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of their relevant discipline. The Research Assistant/Fellow will embed their research expertise into the life of the School through the development of high-quality, productivity-driven research networks across RMIT