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development and scientific application of SAMS, contributing to the School’s and the project’s international reputation in solar physics and data-driven modelling. Main duties and responsibilities Construct and
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in our large and diverse academic School of Biosciences. As this role requires a combination of state-of-the-art approaches, it provides an excellent opportunity to develop your skills in
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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
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science, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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element models. ● Work collaboratively with other colleagues for the validation of the finite element models of rib samples based on in situ mechanical testing data. ● Lead the model uncertainty
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Rethinking scholarly and editorial practices for born-digital data Digital Humanities Institute PhD Research Project Self Funded Dr Isabella Magni Application Deadline: Applications accepted all
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. We take a macroecological approach to addressing this challenge, mining large databases of marine biodiversity data to understand the ecological, evolutionary, and environmental factors that drive
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(work-related expenses are covered, you do not require access to your own vehicle) Provide information, advice, and guidance to prospective students acting as a positive role model. Work closely with
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technologies, including: Smart Shop-Floor Connectivity 5G Factory of the Future Big Data Artificial Intelligence (AI) Automation and Robotics for advanced manufacturing systems. Candidates should have strong
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limited to machine learning, Natural Language Processing, large language models, data visualisations, and linked open data, can help streamline and improve editorial workflows. At the same time, it