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Arab Emirates Application Deadline 27 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will study the influence of oceanic
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 7 days ago
, Computational Biology, or related fields. Strong experience in deep learning, ideally with PyTorch. Proven experience with graph neural networks, geometric deep learning, or transformers is a major advantage
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24 Nov 2025 Job Information Organisation/Company ICFO - The Institute of Photonic Sciences Research Field Physics Mathematics Computer science Engineering Researcher Profile Established Researcher
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science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university
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. Brief Description of Duties: The Postdoctoral Associate will join the Principal Investigator Profs. Himanshu Gupta and CR Ramakrishnan in the Quantum Computing and Network Center of Stony Brook
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We invite applications for a Postdoctoral Research Associate (PDRA) to join the EPSRC Hub on the Mathematical and Computational Foundations of Artificial Intelligence. One PDRA will be recruited
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natural language processing and machine learning workflows; (3) experimental design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal
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balance, offering: (i) flexible working and parental leave opportunities; (ii) an employee assistance programme which provides free, confidential advice on both home and work concerns, as well as optional
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learning. However, conventional neural networks are not well-suited to the computational constraints of FHE. The project aims to develop more efficient neural network architectures tailored for encrypted