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Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number 101227683 Marie Curie Grant Agreement Number 101227683 Is the Job related to
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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. Desirable criteria Experience working with generative models or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design
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United Kingdom Application Deadline 30 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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The Role The postholder will contribute to the UKRI-funded Great British Chemicals (GBC) Hub, a seven-year national programme bringing together 10 UK universities, industry partners, and
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role in participating in the exchange programme with Johns Hopkins University. You will also be responsible for contributing new research project ideas, managing your own administrative activities and
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with members of the team and other researchers in the Future of Food programme at the Oxford Martin School. You must hold or be close to the completion of a doctoral degree in a relevant field (e.g. data
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skills and ability to troubleshoot High level of self-motivation, commitment, and work ethics Good management and (self) organizational skills Excellent team player Excellent knowledge of English (C1) and
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for handling and analysing large and complex geophysical datasets, including programming skills in languages such as Python or Matlab. 10. Skills in description, analysis and dating of sediment cores. 11. Skills