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Field
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an important challenge in Human-Computer Interaction research: how can we create a proxy for a remote physical object that does not replicate, but extends the experience of interacting with the object itself
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perform independent and collaborative research to meet the project objectives, and to publish high-quality journal papers to promote the international reputation of the school and the University. Key
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to blend virtual sets with physical stages in real time. The project will: Synchronise VR headset views with the VP stage’s real-world tracking data. Deliver adaptable XR workflow solutions across a range of
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aptitude towards experimental testing. A strong track record of high-quality journal publications is an advantage. If you have any questions please don't hesitate to contact Dr Charlie Ryan: c.n.ryan
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should demonstrate strong expertise in robotic systems, with experience in one or more of the following areas: robot perception, 3D machine vision, object pose estimation/tracking, vision-guided
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of Duties Research Engage in individual and collaborative research as part of a team, delivering directly to the project objectives, and disseminate results through publication in high-impact journals and
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previous experience of survey experiments desirable; a track record of research on the political attitudes of the public and/or other key political actors; a facility for solving conceptual and
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the Innovate UK-funded SCHEME project, contributing to the overall project objectives and continuing the project's track record of publications in top cryptographic engineering venues. A secondary purpose is to
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: Synchronise VR headset views with the VP stage’s real-world tracking data. Deliver adaptable XR workflow solutions across a range of accessible systems, using diverse tracking systems, LED volumes and VR
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on the regulation of protein translation and stop codon readthrough (SCR). The primary objective is to identify/isolate trans-regulators that control SCR in a temporal and spatial manner. This will be done by