130 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Bristol
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at the University of Bristol and our research is highly interdisciplinary, with opportunities for collaboration nationally and internationally. More information about our research can be found here: https
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undergraduate and postgraduate courses in Economics. Play a pivotal role in programme accreditation, curriculum enhancement, and innovative teaching strategies that improve student experience and employability
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of their research specialism and demonstrate plans to develop research activities and how this will link to and expand existing research activities. This post will support the undergraduate programme in Aerospace
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domains such as Medicine and Healthcare, Robotics and/or Autonomous Systems, or Computational Neuroscience. The University of Bristol has a longstanding research tradition in AI dating back over more than
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live-imaging, immunohistochemical, and transcriptomic studies of wound repair using zebrafish and arabidopsis models tissue damage/repair. You will join the lab of Professor Paul Martin, (http
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& Curriculum Development Design and deliver advanced undergraduate and postgraduate courses at the intersection of FinTech and AI. Play a pivotal role in programme accreditation, curriculum enhancement, and
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technologies, including VR, AR, MR, XR, and related fields. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research
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advancement to Associate Professor. Teaching & Curriculum Development Design and deliver undergraduate and postgraduate courses in core and elective areas of Economics. Contribute to programme design
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to submitting an online application, you will need to contact the project supervisor to discuss. Online applications click the 'Apply' button. Please select Computer Science on the Programme Choice page. You will
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our interdisciplinary research culture in one of the four broad domains: data science for psychiatry and mental health-care; data-intensive computational neuroscience; data-intensive bioinformatics; and