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. The research will provide input for other group members, meaning user friendly outcomes and proper documentation of results are expected to be incorporated in daily tasks. A comprehensive training program
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Coupled Plasma) torch design for high enthalpy thermal plasma flow. Developing/Validating computational models for a dual stage plasma torch. You should hold a PhD (or equivalent experience) in Plasma
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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-bioreactor systems for organ-on-a-chip applications. Integrate sensors, microfluidic control, and environmental regulation into compact bioreactor units. Collaborate with biologists and engineers to validate
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applicant will work mostly within our Technology Assessment Review programme, undertaking research to support National Institute for Health and Care Excellence (NICE) decision making, and in our NIHR Evidence
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, including data preprocessing, feature engineering, and preparation of datasets for robust model training and validation. Experience with computational and statistical analysis in Python and R. Familiarity
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research
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and engineering, social sciences and humanities. The program is administered by Canada's three research granting councils: the Canadian Institutes of Health Research, the Natural Sciences and
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is a flair for communicating beyond their own field of study and with society at large. Ideally, fellows pursue unconventional projects in new areas of science, engineering and social sciences
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researchers in law, social sciences, environmental studies, technology studies, and critical theory, in close collaboration with Nordic and international partners. The successful candidate will: conduct