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following position Postdoctoral researcher (m/f/d) in Environmental Data Science and Machine Learning for the project BoTiKI Location: Görlitz Employment scope: full-time (40 weekly working hours) / part
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expected to start August 15, 2025. Selected applicants will be invited to interview via Zoom. For more information about the Department of Chemical and Environmental Engineering, please visit https
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Environmental Health (more...) Chemical Engineering Chemistry Environmental Science Appl Deadline: (posted 2024/08/26, listed until 2025/06/06) Description: Apply Today is the last day you can apply for
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: 29 June 2025 Apply now Are you a dedicated researcher with expertise in environmental health? Join the Institute for Risk Assessment Sciences external link (IRAS) as a postdoc to lead research in
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aims to provide new targets for bioengineering crops, algae, and other photosynthetic organisms to improve their photosynthesis efficiency and enhance their resistance to environmental stresses while
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
) 2025-2030. To pilot this program, the Postdoctoral Researcher will develop an implementation framework for five priority environmental management, science, and conservation actions. The overall goal is
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with bipolar membranes (BMED] for sustainable desalination brine treatment, at the crossroads of electrochemistry, membrane science, and environmental engineering. Main Responsibilities Design and
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on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human geography: political-ethnic, cultural, human-environment
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28 Months, Fixed-Term, Whole-Time Post Position Summary Applications are invited for the role of Post-Doctoral Researcher within the School of Biological, Earth and Environmental Science. We
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
, epidemiology, and socio-environmental modelling. To be considered a successful candidate; A PhD degree in Ecology, Biodiversity analyses, Environmental Science, Remote Sensing, Epidemiology, Data Science, or a