604 structural-engineering-"https:"-"https:"-"https:"-"https:" research jobs in United Kingdom
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the public engagement of science/social sciences/humanities Develop an awareness of University structures, policies and procedures and relevant issues in the higher education, research, social and political
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This is a full-time, 2.5-year fixed-term Research Assistant/Associate position and provides an exciting opportunity for an early career scientist who is interested in wearable technology and novel machine
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of Natural and Environmental Sciences (SNES) in the Faculty of Science, Agriculture and Engineering (SAgE), this role offers the opportunity to work at the heart of applied, impact-driven agricultural research
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. The post is based in the School of Engineering and Materials Science. About You This Postdoctoral Research Associate Role will join the multidisciplinary research group of Prof Martin Knight, focusing
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responsible for high-throughput engineering of phage genomesand high-throughput phenotyping assays. The successful applicant with work closely with Postdoctoral Research Fellows and they will be part of a
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We are seeking a highly motivated and skilled Research Assistant to join the Department of Materials, Design and Manufacturing Engineering. This role is central to a pioneering project aimed at
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areas: digital ethics, governance of emerging technology and law, the ethics/governance of cybersecurity, the ethics/governance of AI. Main duties include undertaking comprehensive and systematic
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on software engineering, computational infrastructure, and open-science support, working across multiple work packages. The postholder will play a central role in maintaining and improving the group’s
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have a strong background in mechanical/electrical engineering and should hold a postgraduate degree in business administration or economics. Also, knowledge in the following areas is required: Conducting
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science, engineering, or a related discipline, with significant postdoctoral research experience. The ideal candidate will have strong expertise in computational biology, machine learning, and quantitative analysis