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time series analysis methods and to provide a solid basis for the interpretation of data-driven identification of climate regimes and punctuated equilibria . The candidate will be part of the research
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of the following research and educational areas is a great advantage: • Visual analytics of large data sets for decision support • Visualization of multidimensional and/or time-series data in
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references. Please upload those in PDF format to the Applicant Document section as Specific Request 1. Skills / Knowledge / Abilities Knowledge: Seismology, geophysics, time-series analysis, and appropriate
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Demographic and Health Surveys, the Generations and Gender Survey, the International Public Use Microdata Series, and the Human Fertility Database, among others, and linking these data with other databases
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involve working with datasets such as the Demographic and Health Surveys, the Generations and Gender Survey, the International Public Use Microdata Series, and the Human Fertility Database, among others
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/genomic data with biogeochemical measurements, biogeographic, phylogenomic, comparative, time series (community or population) modelling/analyses. Demonstrated skills in bioinformatic and statistical
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 10 days ago
of Oldenburg Your Profile PhD in marine ecology, finalized by the start of the project Advanced statistical modeling skills including analysis of biodiversity time series and functional traits, evidenced by
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the guidance of the PI. Travels to scientific conferences to give presentations. Attend weekly Medical Physiology Seminar Series and meet with guest lectures Utilizes summarized results in scientific and/or
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will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series
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, biogeographic, phylogenomic, comparative, time series (community or population) modelling/analyses. • Demonstrated skills in bioinformatic and statistical analyses of microbiome, geochemical and ecological data