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- GBP 46,049 Fixed-term: The funds for this post are available until 31 December 2028 in the first instance. To apply online for this vacancy and to view further information about the role, please click
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. Beyond technical excellence, the PhD will equip you with highly transferable skills in experimental design, data analysis, scientific communication, project management, and interdisciplinary collaboration
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information and a detailed description of the research project, hit the 'APPLY' button above. Application Deadline: This PhD studentship offer will remain open until filled.
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: Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject, typically in the physical sciences or engineering. Experience of computer simulation, or
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strong social economy. Building on reflexive ethnographic methodology, data will be analysed collaboratively with the research participants. During fieldwork the researcher will undertake ethnographic
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the deployment of immersive technologies in user experiences, simulation and engagement. Key Contact For further information and informal enquiries regarding the role, please contact Professor Chris Bussell, Pro
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apply online for this vacancy and to view further information about the role, please visit: www.jobs.cam.ac.uk/job/53941 . For informal enquiries, please contact Professor Florian Hollfelder via
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity
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orla.williams@nottingham.ac.uk for more information Funding support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover
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Electronic Engineering (Bio-electronics) (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a