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responsibilities. Experience Essential: E1. Experience of planning and progressing work activities within professional guidelines or organisational policy, applying initiative and independent judgement. E2. Track
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technologies for future particle vertexing and tracking silicon detectors. In close collaboration with other UK universities and STFC laboratories, as well as in partnership with international institutions and
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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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both institutions and industry partners. About the Project You will join FabricFlow – an innovative AI-powered ecosystem that revolutionises how fabrics are tracked and managed in the fashion industry
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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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generation, gesture recognition, or real-time data processing. Track record in HE/industry collaborative projects. Contract Details Hours: 10.5 per week Contract: Fixed-term until 31 July 2017 If you are
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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
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multidisciplinary team Evidence of strong communication and scientific writing skills Evidence of publication track record Extensive experience and expertise in version control (e.g., Git) and reproducible research