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with Simulation-based Inference ), funded by the Multidisciplinary Institute for Artificial Intelligence (MIAI) through an AIforScience Research Chair. ADACSI will develop a multi-probe simulation-based
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help reduce uncertainties in climate forecasts and better assess the effects of aerosols on atmospheric systems. The postdoctoral researcher's mission will be to develop and improve the WRF-Chem model
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with studying linear and differential cryptanalysis. Then, a particular attention will be taken at differential-linear attacks or more generally at statistical or composite attacks. We will, after having
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responsibility. 3) Scientific analysis and interpretation: - Develop advanced analysis methods to quantify bedload transport: full responsibility. - Interpret results and propose explanatory models: primary
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The postdoctoral researcher will develop a novel active remote sensing method for the detection and characterization of stratospheric aerosols by adapting the AEROTYPro/GRASP methodology to observations from
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, integrating statistical inference, machine learning, and population genetics. We will develop advanced computational methods to characterize the functioning of T- and B-cell repertoires. The goal is to build
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one of the most crucial issues of our time, against the worrying backdrop of biodiversity collapse. To contribute to this, the ECO-EVO BIODIV project aims to develop an integrative eco-evolutionary
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reconstruction - Formatting of results and statistical analyses - Follow-up of literature and improvement/adaptation of techniques and analyses according to research projects - Participation in team and institute