185 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Oxford
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the stability and reliability of these materials in optoelectronic devices. The post-holder will have the opportunity to teach. Applicants should possess or be close to obtaining a PhD in physics, materials
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months), and is full-time. Applicants will have, or be close to completing a PhD/DPhil in statistics, computer science, or related areas. They will have excellent communication skills, including
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irradiation damage of materials, who is self-motivated and able to plan and deliver a complex research project. You will have a relevant PhD (or be near completion) in Materials Science or Physics and will have
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About the role This is an exciting opportunity to work at the forefront of a new area of research exploring the interaction between avian vision and collisions with anthropogenic objects
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against existing imaging data. The group’s long-term vision is to impact clinical practice by identifying characteristic manifestations of age, trauma, and disease on the brain’s form and function. You will
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execute experiments and contribute conceptually to the overall research programme. The post-holder should hold, or be close to completion of, a PhD/DPhil in biochemistry, molecular/cell biology or genetics
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Disease Research Programme. This role focuses on advancing early diagnosis and risk stratification in individuals with inherited cardiac conditions through cutting-edge imaging research. The successful
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received before midday on Thursday 20th November 2025 will be considered. Interviews will be held as soon as possible thereafter. About You You should hold a PhD and postdoctoral research experience
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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other postdocs, research assistants and PhD and project students. The research group aims to apply the latest advances in molecular biology, immunology and neuroscience to better understand the mechanisms