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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 4 days ago
the Thoth project team (https://thoth.inrialpes.fr/ ) within the Inria Centre at Université Grenoble Alpes (https://www.inria.fr/en/inria-center-universite-grenoble-alpes ) to work under the supervision
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc: Keystone Project (Machine-Verified LLM Inference) Mission The Keystone project seeks
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funded by UKRI EPSRC, is fixed term for up to 12 months maximum, and must end by 31/12/2026. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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, wellbeing support, and a range of travel, lifestyle and healthcare benefits. Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits for more information. Our commitment to Equality, Diversity and
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– NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and network telemetry. You will contribute to the development of a framework that reduces the carbon
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Description Applications are invited for a fully funded two-year postdoctoral position in Statistics, Machine Learning, or a closely related field under the supervision of Prof. Souhaib Ben Taieb
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opportunity The School of Electrical and Computer Engineering at the University of Sydney is seeking to appoint a Postdoctoral Research Associate to contribute to an exciting project focused on the challenge
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specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in machine
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models capable of inferring the IPLS directly from widely available genomic and epigenomic data. Broadly, the project aims to develop integrative approaches at the interface of (epi)genomics, machine