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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 hour ago
complete Job Responsibilities and Essential Functions for Tenured and Tenure-Track Faculty document visit our website: https://facultyhandbooks.charlotte.edu/full-time-faculty-handbook/ Essential
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apply. The successful candidate will be part of the U.S. Geological Survey (USGS) Massachusetts Cooperative Fish and Wildlife Research Unit (MA Coop Unit ; https://www1.usgs.gov/coopunits/unit
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complete Job Responsibilities and Essential Functions for Tenured and Tenure-Track Faculty document visit our website: https://facultyhandbooks.charlotte.edu/full-time-faculty-handbook/ Essential
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can be found on the university's doctoral student pages. https://medarbetarportalen.gu.se/doktorand/?languageId=100001&skipSSOCheck=true We offer The University of Gothenburg is a state authority
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theory in a variety of subfields of statistics relevant to AI-enabled experimentation, including: experimental design, clinical trial design, and sequential experimentation Bayesian optimization and
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: Experience with extreme value statistics and machine learning techniques for modeling spatial and temporal variability and correlation patterns. Our recent work has e.g. employed Bayesian hierarchical
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for two years by the UCSB Schmidt Environmental Solutions Program. Department : https://msi.ucsb.edu/ Qualifications Basic qualifications (required at time of application) Applicants must have completed
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statistics is required (Bayesian and frequentist approaches; knowledge of machine learning would be an asset). Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR9191-ARNLER-009/Default.aspx
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Is the Job related to staff position within a Research Infrastructure? No Offer Description «Advanced bayesian methods in correlated data settings. (PID2025-172789NB-I00), CPI-26-561» Group: A
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models and Bayesian hierarchical approaches to tackle complex, real-world data? Join this ERC-funded project to investigate cognitive variability by integrating the dynamic cognitive and biological