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, spatial statistics, machine learning approaches, large ecological datasets Previous experience with passive acoustic monitoring and/or eBird data Familiarity with ecology and/or ornithology Demonstrated
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programmes in spatial planning and architecture, in Polish and English, including conducting classes using statistical methods and GIS. Participating in the education of doctoral students, including serving as
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
sound knowledge of statistics, machine learning, image analysis, or spatial data analysis The ability to assess algorithms and models not only from a technical perspective, but also in terms
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development of an analytically focused criminal justice curriculum. Candidates whose work bridges criminology and advanced analytical methods (e.g., spatial analysis, social network analysis, intelligence
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and analytical skills, experience with spatial ecology and movement analyses, and the ability to work effectively in a collaborative, multidisciplinary research environment. Qualifications: Applicants
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Infrastructure? No Offer Description The thesis will rely on a multidisciplinary approach combining geochemical analyses, statistical methods, and glacio-climatic modeling. The main objectives are: • Document
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restricted data, developing and implementing statistical models, preparing requests for results disclosure, and contributing to peer-reviewed manuscripts. Project #2: The Research Scientist will also
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-term memory, spatial cognition, legal psychology, and judgment and decision making. Areas of particular interest include attention, perception, working memory, cognitive control, psycholinguistics, and
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spatial concepts, as well as how to make sense of and prepare spatial health data for mapping and statistical analyses (including georeferencing, geocoding, merging data sources, and describing and
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with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center-for-avian-population-studies/ ), one of six programmatic units at the Cornell Lab. CAPS is the home of