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Field
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the successful candidate will work closely with other colleagues and industrial partners. Candidates must hold a PhD (or be near to completion) or equivalent, in engineering, applied mathematics or a related
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consideration will be given to applicants with interests aligned with areas of research in the Department of Mathematics that include algebra, analysis, applied/computational mathematics, bio-medical mathematics
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for near-real-time data analysis. Your work will help 12,000+ users run faster, more reliable science. What You Will Do: Contribute to one or more NESAP scientific workflows targeting NERSC HPC resources
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or defended before start) in Computer Science, Remote-Sensing/Geoinformatics, Agricultural Data Science, or related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL
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: Development, performance analysis and optimization of end-to-end science workflows, including those originating at DOE facilities. Deployment of capabilities such as AI training and inference at scale, and
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Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing and Image Analysis as part of Visual Intelligence , Norway’s leading research centre
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. Expertise in data collection and analysis methods. Excellent written and verbal communication skills. Ability to work both independently and collaboratively in a team environment. Responsibilities: Conduct
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campus and some from home. Summary of the role The University of Exeter is recruiting either a Postdoctoral Research Associate or Fellow to work with Prof. Andrew Hillier in the Department of Mathematics
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to work independently as well as in a team. A strong background in large-signal dynamics analysis of power converters is a distinct advantage. We regret to inform that only shortlisted candidates will be
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. More information about the study can be found here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a highly motivated researcher with strong quantitative skills, passion