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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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using advanced statistical methods. The goal is to improve our understanding of wave-driven turbulence processes, which are crucial for accurate climate modeling The Institute of Environmental Geosciences
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Information Eligibility criteria * Skills/knowledge: statistical physics, physical chemistry, machine learning * Expertise: molecular simulations, programming experience (Python, C++, Julia, C, etc.), Python
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cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from statistical models. Within the Polarity
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of structural biology (biological membranes, membrane proteins). • General theoretical knowledge in the field of statistical physics, and knowledge of the principles of physical chemistry determining
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and process behavioral and electrophysiological data • Model behavior based on diffusion models and make explicit link with neurophysiological data • Conduct detailled statistical analysis • Write
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, including the South Atlantic anomaly, based on a statistically significant recurrence in a large set of archaeomagnetic and paleomagnetic field models. The Laboratoire de Planétologie et Géosciences (LPG) is a
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instruments and high throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those
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dependencies on the electrical properties will be assessed. In addition, AC and DC breakdown voltage testing will be performed on the various laminates and the results will be statistically analyzed in order to