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, ensuring the technical and scientific quality of the data obtained. Quantify groundwater discharge to the sea and associated solute fluxes, including nutrients, metals and pollutants, using integrated
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for environmental applications, and monitoring greenhouse gas and pollutant emissions using atmospheric measurements and dispersion models. We are looking to grow our team from June 2022 onwards for a Scientific
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and studies all aspects of transport in the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat, and we use inverse modelling techniques to determine sources of greenhouse
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aspects of transport in the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat, and we use inverse modelling techniques to determine sources of greenhouse gases, radionuclides
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all aspects of transport in the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat, and we use inverse modelling techniques to determine sources of greenhouse gases
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for detecting various analytes in liquid media, including heavy metals, organic pollutants, biomolecules, and gases dissolved in water. The job vacancy involves designing, synthesizing, and characterizing highly
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hydrology, nonpoint source pollution, and human-water dynamics. RESPONSIBILITIES Research: 85% Collect and manage the data of water and environmental systems. Conduct the analysis and modeling of water and
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as climate change, Earth system science, air pollution, natural hazards, and monitoring of the Earth's surface. We have extensive experience in developing and applying remote sensing across
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approaches to remove atmospheric particulate (e.g., PM2.5) pollution. The math-based subgroup focuses on the use of deep learning and generative AI to address critical problems for the electric grid and broad
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as climate change, Earth system science, air pollution, natural hazards, and monitoring of the Earth's surface. We have extensive experience in developing and applying remote sensing across