10 machine-learning-phd Postdoctoral positions at DURHAM UNIVERSITY in United Kingdom
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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computational foundations of machine learning. There will of course be time to pursue independent research. The expectation is that the post-holder will use the project to complement their own research
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contribute to fostering a collegial environment, as well as demonstrating their commitment to equality, diversity and inclusion. It is essential that the successful candidates will have a PhD in theoretical
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that the successful candidates will have a PhD in theoretical particle physics or closely related field, and will have demonstrated strength in independent research in theoretical particle physics appropriate
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and inclusion. It is essential that the successful candidates have a PhD in Mathematics, Physics, or a closely related field, and will have demonstrated strength in independent research appropriate
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criteria for the role are a strong track record in world-leading research commensurate with applicant's experience, along with a PhD in computational chemistry or related subject. Experience in molecular
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Criteria: Qualifications A good first degree in Chemical Engineering or Chemistry. A PhD (or be close to submission) in Crystallisation or a related subject. Experience Experience in conducting high quality
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of complex liquid-solid interfaces at a theoretical level. The main criteria for the role are a strong track record in world-leading research commensurate with applicant's experience, along with a PhD in
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Lew-Levy) an advisor Jeremy Kendal (Durham University). ChACE will eventually integrate PhD students, Masters students, and RAs, who will work at local and international field sites to collect data
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field. Collaboration with our European partners is anticipated, and the successful candidate will be encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques