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physics is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Hands-on experience with radio, optical, or hard-radiation
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visualization is a requirement. Documented general knowledge of the near-earth space environment, atmospheric or lightning physics is an advantage. Documented general knowledge of space systems design and
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analysis) is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Documented general knowledge of the near-earth space environment
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requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Documented activity aimed at the calibration of gamma-ray detectors is an
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: Experience with R (data wrangling, visualization, statistical modelling) Experience with experimental methods (e.g., eye-tracking, EEG/ERP, self-paced reading, speech production) Experience working with
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of Informatics. You will be part of Visual Intelligence and the DSB group. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-deep-learning
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also be affiliated with the Center for Research-based Innovation Visual Intelligence . In this postdoctoral position you will be taking an active role in the group's research on developing novel machine
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-contextualized in new and innovative ways, whether visual, digital, or interactive. We welcome projects with theoretical ambitions (whether rooted in a disciplinary tradition or engaging with digital humanities
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re-contextualized in new and innovative ways, whether visual, digital, or interactive. We welcome projects with theoretical ambitions (whether rooted in a disciplinary tradition or engaging with
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https