276 Electrical-Engineering-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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the UK. The successful applicant will undertake research using qualitative and quantitative methods to assess the current levels of advertising for foods that have a high climate impact. They will also use
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may be obtained from the University of Cambridge’s website: www.cam.ac.uk . Current or former Newnham students in the whole field of the Arts, Humanities and Social Sciences may apply for this Research
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The Research Fellow / Postdoctoral Researcher is expected to have a strong training in relevant disciplines, including economics, development studies, geography, business, politics and engineering. The
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quantitative methods to assess the current levels of advertising for foods that have a high climate impact. They will also use qualitative methods to understand policy processes that have supported or hindered
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assessments and ensure compliance with Work Safety and Health (WSH) regulations. Manage procurement of specialized equipment and research consumables. Mentorship Mentor research engineers, graduate students
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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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, Environmental Sciences, Environmental Engineering, Remote Sensing, Geographical Information Science (GIS) or closely related areas. Experience using remote-sensing techniques (e.g., satellite imagery, LiDAR
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, Environmental Sciences, Environmental Engineering, Remote Sensing, Geographical Information Science (GIS) or closely related areas. Experience using remote-sensing techniques (e.g., satellite imagery, LiDAR
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(pro-rata) dependent on qualifications and experience, in line with current pay protection and transitional arrangements in the NHS. This is a part time (50%), fixed term position until 31/07/2031
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. The project develops new theoretical and methodological advances in high-dimensional hypothesis testing and related areas of statistical inference. Current research topics include robust estimation and testing