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). The institute also maintains locations in Dedelow and Paulinenaue. Within the DFG-funded project “MEGAFORP – Me chanisms of g ene flow a mong spatially isolated for est herb p opulations in European agricultural
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for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology, and spatial ecology. Evidence of ability to work collaboratively as well as independently
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inference, bias mitigation, and statistical modelling. Expertise across diverse epidemiologic methods and content areas is welcomed. Develop a research program that incorporates rigorous epidemiologic methods
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such as artificial intelligence, geographic information systems, and statistical methods. The researcher will be responsible for: Helping collect, organize, and ensure interoperability of clinical
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; maintain version control and prepares data for submission to public repositories and collaborative networks. Conduct statistical and spatial analyses of ecological and climate datasets. o Implement
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inference and prediction of gas dynamics at high spatial and temporal resolution, and in turn more effective climate change mitigation, urban air quality management, and rapid response to hazardous releases
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facilitation) and at least a basic understanding of quantitative methods (surveys, metrics, basic statistics/analysis). Ability to translate data into clear recommendations and actionable steps for design and
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agricultural science with a quantitative focus (or an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and
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and Campus Crime Statistics Act, the Annual Security Report (ASR) is also now available for viewing at https://www.sjsu.edu/clery/docs/SJSU-Annual-Security-Report.pdf . The ASR contains the current
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Transformation (GALLANT): https://www.gla.ac.uk/research/az/sustainablesolutions/ourprojects/gallant/ . This post will be based in Work Package 2 ‘Biodiversity and societal benefits of ‘natural’ urban habitats