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Field
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, computer graphics, autonomous and assisted driving, neuromorphic computing and sensing. How to Apply Interested applicants must submit via the Heriot-Watt on-line recruitment system: (1) a cover letter
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We are seeking a motivated and Talented experimentalist for a full-time Postdoctoral Research Assistant in Modelling of Quantum Computing Control Systems within Professor Ares’ and Professor
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Are you passionate about taking a lead role in a cutting-edge project at the intersection of genomics, computational biology, and haematological cancer? We have an exciting opportunity for a Senior
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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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advanced fundamental physical understanding of the phenomena at play but accurate predictions in realistic geometries remain difficult. You will be responsible for implementing and validating ice accretion
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advanced fundamental physical understanding of the phenomena at play but accurate predictions in realistic geometries remain difficult. You will be responsible for implementing and validating ice accretion
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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simulation methods, decision theory, uncertainty quantification, machine learning. Applications and areas of key innovation Image analysis, computer graphics, autonomous and assisted driving, 3D scene analysis
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 28 days ago
). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural dynamics simulations to recover dynamic strain and flow fields