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manufacturing. You will work in state of the art large language models and their application to chemical engineering, with a focus on AI model development, multimodal data processing and automated documentation
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holder will collaborate with Profs. Carlo Contaldi and Andrew Jaffe on the development of a B-mode estimation pipeline for large angular scale data returned by the SO Small Aperture Telescopes (SATs
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estimation pipeline for large angular scale data returned by the SO Small Aperture Telescopes (SATs). The post holder will contribute to independent and original research within the Universe Community, submit
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maintenance of large-scale GPU clusters within our data centres, ensuring optimal performance and reliability. Strategy Development: Develop, execute and evangelize GPU strategy which considers platform
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that can be implemented on the high-throughput reaction platforms and analytical equipment available in the ROAR facility, ii) Handling large databases of complex reaction data, and iii) developing tools
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College London. These two Wellcome Trust-funded roles will work on engineering S. cerevisiae yeast strains to tailor their cells for the capture, editing and transfer of large (250 kb+) sections
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-actuated large-scale manipulators (e.g., container cranes). For further information on Dr Antoine Cully’s research and projects, see www.imperial.ac.uk/adaptive-intelligent-robotics This project will be
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Daniel Leff. The theme is further supported by Clinical Research Fellows who will assist in collecting and analysing human data, evaluating the potential of these technologies to improve outcomes after
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-edge advancements in deep learning, cross-modal representation learning, and large-scale transformer architectures to develop novel methodologies that are not only high-performing and data-efficient but
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Are you passionate about data? Would you like to enable Imperial to make data driven decisions? Do you enjoy finding innovative technical solutions to emerging problems in the analytics space? We