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proposes to combine in situ and remote sensing data, radiative transfer models, and chemical and physical analytical methods to better understand the fundamental properties and the impact of mineral dust
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. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software development background with programming
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. The modelling aspects will cover the development of a new aerosol chemistry module for box models up to meso-scale modelling. The researcher will work in the CARE team (Characterisation and Remediation
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Science and Engineering, or a related area is required. The position will involve developing models and algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research
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, Physics, or a closely related field. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software
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, Physics, or a closely related field. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software
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multi-model large ensemble datasets under the Regional Aerosol Model Intercomparison Project (RAMIP), the Researcher will help quantify the role of aerosols—relative to greenhouse gases—in shaping
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TO THE RESTART PROJECT starting earliest November 2025 for a full-time fixed-term contract of two to four years depending on the position. The hired researchers will work as part of the computational aerosol
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on the position. The hired researchers will work as part of the computational aerosol physics and urban meteorology groups at INAR. The computational aerosol physics group uses computational and theoretical methods
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Atmospheric Science or highly related relevant field A proven track record in relevant atmospheric science modelling Knowledge of cloud microphysics and/or aerosol science Contact Name: Prof Maarten Ambaum