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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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, aims to design, develop, and validate an AI-powered digital twin model addressing key challenges in Health Research. It is a digital copy of the human body trained to identify missing scientific concepts
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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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26 Aug 2026 Job Information Organisation/Company University of Lille Research Field Chemistry » Computational chemistry Physics » Statistical physics Chemistry » Physical chemistry Physics
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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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contract and its rethinking for our time. It aims, over a three-year period, to develop original, innovative, integrative, and open research, in dialogue with non-academic stakeholders. Re-Contract seeks
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, the deadliest malaria parasite species. Within UniGEM, the postdoc will be responsible for the simulation of synthetic data used to train, develop, and test the neural network. Scientific context: Malaria