12 computer-science-image-processing Fellowship positions at University of Manchester
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shaping strategy. What you will do: Lead research into metadata-driven health informatics using RO-Crate Investigate validation mechanisms (e.g. SHACL, SPARQL), semantic schemas and provenance profiles
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We wish to appoint an exceptional Research Fellow in Health Economics to join the Care Delivery and Economic Sustainability research theme of the NIHR Applied Research Collaboration for Greater
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Institute, the UKs center for advanced materials science, giving access to leading materials science and engineering techniques. You will focus on powder processing, fabrication, characterisation and
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equivalent) in a relevant subject (e.g. health-related/social science discipline) effective skills are essential. Experience of working with patients and public contributors, healthcare researchers, and
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research and the appointing committee will take into consideration the contribution that the Fellow would make to the research programme of the department or school to which he or she would be assigned
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research and the appointing committee will take into consideration the contribution that the Fellow would make to the research programme of the department or school to which he or she would be assigned
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advice and guidance on research impact and ‘pathways to impact’ can be found here https://www.ukri.org/councils/esrc/impact-toolkit-for-economic-and-social-sciences/. Your proposal will be assessed by non
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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research
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theory, multiplier theory, and the classical small-gain theorem would be also beneficial. The successful applicant will work under the direction of Prof. Alexander Lanzon, Chair in Control Engineering at
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within the Respiratory theme of the Manchester BRC. The study will investigate a new technology aim at identifying bacteria in the lung of critically ill adult patients with suspected ventilator-associated