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multiphysical constitutive models of cortical tissues degeneration during aging and injury; iii) utilize longitudinal medical image data to infer brain aging and injury mechanisms; and iv) study the potential
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. This can involve IoT connected devices, physical sensors or other instruments, including non-intrusive methods and inferences from a variety of data sources. You should have some experience with experimental
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skilled support for lab members on a program of work investigating how impairments in world and goal models disrupt planning and inference in schizophrenia-related genetic mouse lines. Experiments will
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applicant should hold or be near the completion of doctoral studies into hypersonic flows or numerical methods or hold equivalent professional experience. The ideal applicant should have a clear track record
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particular suited to a Postdoctoral Researcher who has established expertise and track record in cardiovascular disease, and could benefit from the sustained support of the BHF’s award to develop their career
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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
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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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will maintain research records and audit/surveillance tools to track the progress of OA research; incorporate new ideas and requirements into existing systems; maintain accurate and efficient filing and
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-week terms with two Saturday workshops. About you We are seeking a scholar who has excellent teaching and pedagogical skills, and who has a track-record of scholarship, or the potential for scholarship
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recent track record of peer-reviewed publications are essential. The position is available from 1 October 2025 or shortly thereafter and ends on 30 September 2028. Group website with research details: All