409 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" scholarships in United Kingdom
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equations to simulate pollutant transport, mixing and biochemical processes. To enable rapid prediction, a machine-learning surrogate model based on Gaussian process regression will be developed and trained
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This funding is available to students undertaking the following modes of study: Full-time Part-time Full-time distance learning Part-time distance learning Subject restrictions This funding is available in all
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, including but not limited to computer science, data science, engineering or mathematics, who are passionate about machine learning and AI research. Strong analytical thinking, problem-solving skills, and the
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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
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of the Manufacturing Technology Centre (MTC) and academics within the Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art
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Spärck AI Graduate Scholarship Named after pioneering British computer scientist Karen Spärck Jones, the Spärck AI Scholarship programme is a government funded initiative which provides full funding
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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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machine learning and AI research. Strong analytical thinking, problem-solving skills, and the ability to engage with complex data challenges will be greatly valued. Experience with Python or AI frameworks
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overseas. Training can be provided in computational fluid dynamics, machine learning, and nonlinear dynamics. These skills are highly valued across a wide range of industries. Recent data reveals that Fluid
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-person teaching. About You You will have a PhD in Computer Science or equivalent and teaching experience at undergraduate or postgraduate level. You should demonstrate the ability to teach across one