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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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Research Centre and community liaison officers. Main duties and responsibilities of the job Lead the design, implementation, and evaluation of community engagement strategies guided by the REPRESENT
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in research Prepare and conduct interviews with key informants (including all communications prior to and following the interviews) Analyse interview data in collaboration with the research team Plan
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with research in the domains of design, (n)etnography, psychology, media studies Experience with
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Partnership at the University of Cambridge. This programme is a collaboration between industry and academia, now in the final 24 months of a 60-month effort. The programme integrates research and innovation
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
state-of-the-art wearable devices. Applicants should have strong experience in data collection in applied settings, advanced statistical analysis skills (particularly in time-series data), and proficiency
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mechanisms, with the current generation having significant drawbacks, including low energy efficiency, high operating voltage or temperature. This project will develop the materials, methods, and designs
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challenges in high-speed electrical machine design for electrified transportation and power generation. Together, we will make technological advances that support the global transition toward net-zero
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platforms for sensing, energy conversion, and biomedical applications. About UCAM-SENS UCAM-SENS is a leading research unit dedicated to electrochemical innovation for healthcare, environmental monitoring
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Classification Title: Post Doc Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science or a related field. Working experience with large language models