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appropriate methodologies (20%) Modify system setup and process protocol to enhance robustness and efficiency (15%) Model process performance and conduct validation studies (15%) Document results and prepare
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
and infectious agents; (2) protect vulnerable populations from toxic exposures; (3) mitigate the impacts of climate change on air, water and health; and (4) create a healthy, sustainable and equitable
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. The team leads innovative, multidisciplinary research spanning climate change impacts, marine heatwaves, biodiversity conservation and blue carbon, using approaches from field ecology to genomics and
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terrestrial carbon cycle, its sensitivity to climate change and its interactions with human activities and land use (e.g. agriculture, forestry, energy and water consumption). The activities will focus in
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%) • Modify system setup and process protocol to enhance robustness and efficiency (15%) • Model process performance and conduct validation studies (15%) • Document results and prepare reports and papers
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solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart
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solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart
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validating EI measures and studying mechanisms of behavior change at scale. The postdoctoral associate’s primary responsibilities will include data preparation and management, advanced statistical analysis
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the dynamic of OM in the future global climate change by using Soil Organic Models. Mentor master students and PhDs Education, qualifications, and experience Applicants must have an earned doctorate in Agronomy
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In collaboration with Utrecht University, you will quantify fire dynamics and its impacts on vegetation and climate at regional scales, combining global vegetation models with state-of-the-art