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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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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
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theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics and PhD students, and communicate your research at national
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, confidently, diplomatically and effectively with face-to-face enquiries and occasional telephone calls during interview time You have high level of computer literacy, and are a confident user of standard office
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Are you passionate about data? Would you like to enable the College to make data driven decisions? Do you enjoy developing, and enabling others to develop, analytics products using Power BI? We
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for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings