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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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-edge research in LLM. Responsibilities Develop high-efficiency, small-to-medium LLMs optimized for the edge through advanced compression, quantization, and distillation. These techniques empower resource
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aims to reconstruct the thermal evolution and subsidence history of the Comminges, Arzacq-Tartas, and Parentis basins from Cretaceous rifting to Pyrenean compression, in order to quantify their natural
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the integrity of compressed storage solutions. Plan and execute research tasks, analyzing data, publishing findings in peer-reviewed journals, and presenting research at scientific conferences. May participate in
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areas – completed in the three years prior to the date of submission of the fellowship application; The post-doctoral research must be carried out at a host institution different from the institution
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fundamental and applied contexts. Using state-of-the-art laboratory facilities, we advance understanding of turbulent incompressible, compressible, and multiphase flows through coordinated research
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new window). Flexible working We are open to discussions about flexible working. Whether it’s a job share, part time, compressed hours or another working arrangement. Please reach out to us to discuss