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identifying solutions to optimise data workflow performance and accessibility. Key responsibilities include: ● Assisting cleaning, linking, curation and processing of healthcare datasets. ● Supporting
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surrounded by high levels of environmental noise. For a decade we have been researching an ambient semiconductor-based technology that yields single photons, particles of light, correlated with its spin
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for low energy nuclear recoil signals for WIMP dark matter, and also contribute to the maintenance, operation and calibration of the experiment. Experience of estimation and modelling of backgrounds to low
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efficiently and effectively. In particular, powdered-polymer AM processes (e.g. Laser Sintering, High Speed Sintering, MultiJet Fusion, and Selective Absorption Fusion), which involve the melting and subsequent
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resources according to the needs of the business. This is a highly customer focused role and you will need to be able to provide a high standard of professional service to a wide range of customers
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Remote robotic welding guided by reliable, non-contact, emissivity-independent temperature imaging and machine vision
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. This paves the way for the application of MPC to large-scale systems, since the computational bottleneck is removed. The basic challenge is how to coordinate the distributed decision making of agents so that
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performance. Research in the group is a mixture of experimental and computation work. A current key focus of the group is development of new multiscale modelling approaches, coupled with data driven modelling
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societal costs. Recently, computational models based on in vivo microCT images have shown high potential to assess the biomechanical properties of bones. In this project, we will aim to show that microCT
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to handle constraints and optimize the performance or economy of the system. One of the main barriers to adoption of MPC for power system control (and, indeed, large-scale systems in general) is its