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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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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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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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lack reliable uncertainty quantification. The methods developed in the project will tackle these shortcomings, enabling computationally efficient inference and prediction of gas dynamics at high spatial
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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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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
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statistical and machine learning methodologies to analyze and predict aspects of the collected data With the guidance of Drs. Stuber and Bruchas, develop experimental methodologies related to two-photon imaging
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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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on EnvStat, please see https://www.helsinki.fi/en/researchgroups/environmental-and-ecological-statistics A doctoral researcher position in biodiversity science We seek a doctoral researcher for joint
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24 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'océanographie physique et spatiale Research Field Physics Researcher Profile First Stage Researcher (R1) Country France