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Field
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research programme in probabilistic AI. The hub will develop the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved through: bringing together
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on semi-automated segmentation, classical registration techniques for motion correction, and iterative algorithms for parameter mapping – leading to computation times of many hours or even days per case
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the analysis of facial movements. Subtle features such as facial asymmetry, impaired muscle control, and abnormal expression patterns often emerge during the acute phase of stroke. By designing algorithms
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implement novel AI models and algorithms Contribute to the planning and execution of research experiments with human participants Manage and analyse large, complex datasets Develop software and prototype real
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STFC - The Science and Technology Facilities Council; | Harwell, England | United Kingdom | 2 months ago
quantum systems Optimisation of Quantum programming languages Hybrid Quantum/Classical algorithms Quantum Emulation on our in-house HPC cluster Extension points to integrate with 3rd party tools and web
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; application of in-house machine learning algorithms to identify optimal linker activity and selectivity; synthesis and characterisation of linker candidates; and proof of concept studies to demonstrate
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from home, which the KTP associate will be expected to follow. The KTP will focus on: Advanced AI and data science, including Machine Learning (ML) and Deep Learning (DL) modelling / algorithms. Best
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with us on defining next generation products optimised for cutting-edge AI algorithms that target markets from IoT devices to mobiles, laptops and servers. The performance team within the CPU group is
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, and assess irrigation investments. As part of the IrrEO project, the PDRA will lead the development and validation of national-scale irrigated area and agricultural mapping algorithms in two
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geometry and variable stiffness composites Implement bespoke optimization algorithms combining shell geometry and fibre distribution accounting for nonlinearity and uncertainty Conduct optimization studies