793 engineering-computation "https:" "https:" "https:" "https:" positions in United Kingdom
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computational engineering and intelligent systems, with core competencies in autonomous systems, sensing and instrumentation, which bridge across multiple themes. Candidates should carefully justify how they will
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external funding to develop and sustain an independent research programme, as well as to form links within the Department of Engineering Science, with other departments across the University of Oxford, and
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market equilibria—using tools from machine learning. The successful candidate will be expected to maintain a vibrant, externally funded research program, teach and mentor undergraduate and graduate
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Technology. The ALTA institute brings together researchers from Computer Science, Engineering, and across the University to investigate new ways of using technology to enhance language learning and to develop
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Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme; those based within the Faculty of Engineering have access to bespoke
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. To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above. About You PhD (or submitted) in Neuroscience, Genetics, Computer Science, Engineering
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degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply
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full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided
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- Systems Support Developer/Analyst (Student Systems) Us We want to make Cardiff University an institution that is respected the world over. Our vision is to be a world-leading, research-excellent
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-time, large-scale data demands of IIoT and lack sustainability considerations, such as energy efficiency. This research proposes a sustainable, high-performance IDS that leverages digital twin technology