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, particularly under extreme environmental conditions. The project proposes an alternative family of regression models based on Pólya urn schemes. These models are consistent with the neutral theory
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12 Sep 2026 Job Information Organisation/Company CNRS Department Institut des géosciences de l'environnement Research Field Environmental science Environmental science » Earth science Environmental
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curated pharmaceutical science and public health databases that can be used for modeling purposes. Information about Dr. Zhu’s research and recent publications can be found on his lab website: https
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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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. For more information, please visit about.springernature.com and @SpringerNature. About the Role: We are currently seeking an Associate or Senior Editor with research experience in the environmental sciences
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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environment, collaborating with experts in atmospheric chemistry, ecology, air quality, exposure science and environmental modelling. The position offers excellent training opportunities, access to national and
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environment. Particularly meritorious are experience with GPS or other mobility data, PPGIS, wearable data, environmental exposure modelling, longitudinal or repeated-measures data, and programming in R, Python
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12 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire de météorologie dynamique Research Field Environmental science Environmental science » Earth science Environmental
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
with related fields, including marine biogeochemistry, physical oceanography, environmental genomics, remote sensing, ecological modeling, and/or data science (AI and machine learning). We