36 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at University of Oxford
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Fellowships Programme aims to support and develop outstanding postdoctoral researchers with either a basic science or clinical background. The fellowships are for two years, supporting the researchers
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Fellowships Programme aims to support and develop outstanding postdoctoral researchers with either a basic science or clinical background. The fellowships are for two years, supporting the researchers
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Fellowships Programme aims to support and develop outstanding postdoctoral researchers with either a basic science or clinical background. The fellowships are for two years, supporting the researchers
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance
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Fellowships Programme aims to support and develop outstanding postdoctoral researchers with either a basic science or clinical background. The fellowships are for two years, supporting the researchers
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), and a detailed research programme (maximum 5 pages), and names of two referees. Please send as a single PDF file. The University of Oxford is committed to equality and valuing diversity. All applicants
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be expected to give high-quality tutorials, classes, lectures, and supervision in History at both undergraduate and graduate level and contribute to, develop and enhance the learning and teaching in
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thesis by 31 August 2025), and demonstrate an ability to teach high-achieving students on a broad range of topics. Good team-working and organisational skills are essential, as are excellent
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of Computer Science (20%). Under the joint supervision of the project co-leads, Dr. Carina Prunkl (Institute for Ethics in AI) and Dr. Jun Zhao (Human Centred Computing), the postholder will contribute
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Schwarzman Centre for the Humanities. The Fellow will have opportunities to work with the Cultural Programme and the Oxford Research Centre for the Humanities (TORCH) and to make use of the Schwarzman Centre’s