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related field. You have an excellent academic track record in topics relevant to robot perception - visual inertial odometry (VIO), mapping (SLAM) and 3D reconstruction. Experience with ultra-sound would be
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experience. The candidate is expected to have a good track record of self-driven research work (either independent or under indirect supervision), excellent verbal and written communication skills, and ideally
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considered. The successful candidate must have experience in the following areas: molecular cell biology, plant phenotyping, and image/data analysis, as well as working as part of a large team. A track record
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close to the completion of a relevant PhD/DPhil in statistical genetics or related field. A proven track record of method development in statistical genetic and the ability to manage your own academic
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a track record of contributing to publications and presentations and an ability to contribute ideas for new research projects. Experience in experimental geophysical fluid dynamics, proficiency in
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, and social/political themes. Experience in contributing to projects, with strong organisational and resource management skills. A track record of quality research outputs, ideally through practice-based
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present day, that situates their story in the broadest possible context. · To assist with the development of research objectives and proposals. To conduct individual and collaborative research
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, demonstrated through emergent track record of peer reviewed journal publications Ambition to apply for research grants Ambition to establish inter/cross-disciplinary collaborations Ability to think critically
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient