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well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors
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hold, or are close to completing, a PhD in robotics, robot learning, or a closely related field. You possess strong expertise in deep learning and robot navigation, with hands-on experience in deploying
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, ensuring they are kept fully up to date with progress and difficulties in the research projects. It is essential that you hold a PhD/DPhil in a quantitative discipline (e.g. Statistics, Machine Learning
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and journal clubs and will have the opportunity to teach. Applicants should have a PhD (or close to completion) in Physics, Astrophysics or a related field. Previous experience in the field of Cosmology
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Lives with Linear Accelerators) project, which aims to leverage technologies developed for particle physics, computer vision and robotics into a novel end-to-end radiotherapy system as an essential
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experience in machine learning and image analysis for ultrasound images and video. The successful applicant will possess specialist experience conducting fieldwork, particularly in low-resource or rural
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the molecular architecture of the chloroplast’s beta-barrel protein assembly machinery using structural tools. The successful candidate will have a PhD with relevant experience in protein biochemistry and
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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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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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computational methods, and inn collaboration with permanent academics, help to mentor students undertaking masters projects and internships in the research team. The post-holder will have the opportunity to teach