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regional agencies, a robust methodology for designing flood-retention basins and dams. We are looking for a candidate to test and develop statistical and simulation-based methods for estimating design floods
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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial
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statistical modelling, medical imaging data analysis, cancer omics, precision medicine and translational statistics. Depending on their profile, the successful candidate will work on one of the following
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Statistics (11 ) Other Non-Science & Engineering (13 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (30 ) Age: Must be 18 years old by 8/31/2026 ORISE GO The ORISE
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and
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Statistics (11 ) Other Non-Science & Engineering (13 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (30 ) Age: Must be 18 years old by 8/31/2026 ORISE GO The ORISE
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DOE-STP Critical Minerals and Energy Innovation - Alternative Fuels and Feedstocks Office Fellowship
Sciences (16 ) Earth and Geosciences (4 ) Engineering (29 ) Environmental and Marine Sciences (1 ) Mathematics and Statistics (11 ) Age: Must be 18 years of age ORISE GO The ORISE GO mobile app
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Sciences (51 ) Mathematics and Statistics (11 ) Other Non-Science & Engineering (13 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (30 ) Age: Must be 18 years