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project which seeks to exploit prior research on pervasive computing, the IoT, the natural environment and data science, to inform understanding of how to design, develop, experience and live in the places
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Scholarship for Applied Computer Science and Artificial Intelligence MSc Study level: Postgraduate Taught Academic entry year: 2024/25 Apply by 25-Oct-2024 Attendance of study: full-time Available
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Scholarship for Applied Computer Science and Artificial Intelligence MSc Study level: Postgraduate Taught Academic entry year: 2023/24 Attendance of study: full-time Available to: prospective
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Oxford-DeepMind Graduate Scholarship (Computer Science) The Oxford-DeepMind Graduate Scholarships (Computer Science) are available for applicants to any full-time DPhil course within, or affiliated
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of Cambridge and Bonn and numerous international partners. The programme investigates how to place the questions of social justice and environmental sustainability at the heart of technology development and how
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of Cambridge and Bonn and numerous international partners. The programme investigates how to place the questions of social justice and environmental sustainability at the heart of technology development and how
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the start date) at least a good 2.1 degree in engineering, or similar. Background knowledge of electrochemistry, water chemistry, or computational methods is beneficial. Applications should be submitted via
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thereafter. You will be trained in all aspects of veterinary diagnostic imaging, including radiology, ultrasonography, magnetic resonance imaging and computed tomography. The training programme is approved by
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for the subject area, demonstrated with a degree or relevant experience in computer science, engineering or related subjects. You should also be able to demonstrate practical experience in software development, applying
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the development of new computational algorithms to both predict and analyze XPCI radiographs. The candidate will go on to apply these techniques to specific high-rate processes, such as the dynamic fragmentation