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the services nature provides to people. The position will combine ecological data analysis with statistical and spatial modeling to quantify chemical impacts across multiple levels of biological
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evolutionary mechanisms: for example, heterozygote advantage (HA), negative-frequency dependent selection (NFDS) or spatially/temporally fluctuating selection (FS). Recently, new research showing that balancing
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, addressing key questions of coherence, entanglement, and other forms of non-classicality while developing practical free-space quantum links. Using spatial light modulators and adaptive optics, we will
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geospatial information (land use and cover, biophysical, climate, management practices, etc). • Contribute to the development of spatial and statistical models that describe the interactions between soil and
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
areas that advance geospatial concepts and theory, including: spatiotemporal modeling, Natural Language Processing implemented within the spatial domain, Big Data cloud computing for spatial statistical
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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
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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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applied questions such as environmental management and risk assessment. For more information on EnvStat, please see https://www.helsinki.fi/en/researchgroups/environmental-and-ecological-statistics A
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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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is an award winning, multi-sectoral team of researchers, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We