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Biological/Biomedical Sciences Engineering Medical - Research Internal Number: A-184696-26 General Description PREP Research Associate This position is part of the National Institute of Standards and
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AM. Discipline(s): Computer, Information, and Data Sciences (1 ) Engineering (5 ) Environmental and Marine Sciences (1 ) Life Health and Medical Sciences (5 ) Veteran Status: Veterans
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 11 hours ago
assembled around the candidate’s own research vision, drawing from partners across Engineering, Medicine, Health, and Science. Research Scope The fellowship is open-ended in research direction, within
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individually, make a real difference. The role Applications are invited for a Research Fellow in the Energy and Materials research group in the School of Chemistry and Chemical and Process Engineering at
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18 Mar 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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findings at conferences. Assist in troubleshooting and optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical
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Technology. Applicants should hold a doctoral degree in public health, epidemiology, or a related discipline, and have strong experience in longitudinal data analysis and advanced causal inference methods (e.g
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Belfast (materials synthesis & device test), University of Exeter (ultrafast optical characterisation), University of York (theory & simulation) and Seagate Technology (device fabrication & test). Based
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model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve model accuracy. Research: Conduct research to enhance wave modelling techniques and
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research grants in the above areas Job Requirements: A PhD degree in Computer Science, Data Science, Engineering, or a related field. Research experience in Computer Vision, Image Processing, Multimedia