272 structural-engineering-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United Kingdom
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- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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- VIN UNIVERSITY
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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Applications are invited for a Research Fellow in Musculoskeletal Research, funded by Arthritis UK to research osteoarthritis. The project aims to develop a novel sensing technology for the early
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technology efficiency and characterisation of separated lithium-ion battery fractions, in addition to closing the loop of these material streams through manufacturing efforts and electrochemical testing
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B microarray patch (MAP) technology for the delivery of timely birth doses of the hepatitis B vaccine to prevent vertical transmission of hepatitis B. The post-holder is expected to use data from
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with high quality, structured mentoring. The role has no formal administrative responsibilities. However, the role holder will have the opportunity to contribute to the academic activities
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traditional ecosystem assumptions (e.g., reliable institutions, credible actors, and enabling infrastructure) do not hold. The project is structured around two in-depth, qualitative case studies (Affinity
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. Although this is not a technical role, a good understanding of technology and emerging trends in technologies would be a significant added value. In this position, you will prepare and conduct empirical
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15 Surrey academics and researchers across Engineering and Chemistry, doctoral researchers, and technical staff across the University. You will also join the steering group for the CoE. The role also
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of Medicine recognise the importance of continuous professional development and therefore the importance of providing opportunities, structured support and encouragement to engage in professional development
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environments. Demonstrated experience in data engineering and ETL workflows required to prepare large, real-world dataset for machine-learning development is also essential. Please note experience in healthcare