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Field
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Job description The project: Earth’s dominant cloud type per area covered is Stratocumulus. These low-level, shallow, horizontally extensive clouds cover one-fifth of the Earth’s surface. Changes in
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The laboratoire de Météorologie Dynamique is looking for a post-doc researcher to study the macrophysical and microphysical parameters that control the radiative properties of tropical convective clouds, and their
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the CERTAINTY project (Cloud-aERosol inTeractions & their impActs IN The earth sYstem), we are working to better understand the interactions between aerosols and clouds and their impact on the climate. This would
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convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles. Potential
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of the molecular ISM of galaxies, with a focus on galaxy centres. In particular, this project aims to measure the spatially resolved properties of giant molecular clouds and/or weigh the supermassive black holes
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central element is the Danish contribution to ACTRIS (Aerosol, Clouds and Trace Gases Research Infrastructure), a European research infrastructure program providing long-term observations and experimental
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of machine learning models. · Experience with statistical analysis, multivariate methods, or comparative and phylogenetic analyses. · Experience using high-performance computing (HPC), cloud computing
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-generation cloud chamber technology for exploring aerosol-cloud-precipitation interactions. The postdoc will lead and support cloud chamber experiments, operate a range of instrumentation, and work closely
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, and computational documentation. Performs large-scale data processing using high-performance computing (HPC) and cloud-based computational resources, when appropriate. Performs multivariable regression
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. Programming experience in a language such as Python or R. Experience working in a cloud environment such as Microsoft Azure. Experience in writing grant proposals and scientific publications. Strong