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Intelligence, statistical learning, uncertainty management, and knowledge engineering, with applications to knowledge capitalization, recommender systems, and the design of narrative virtual environments. Where
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- UGA. It is a highly interdisciplinary laboratory (solid/fluid mechanics, statistical physics, optics, applied mathematics, biology) mande up of nine groups. You will be part of the group MC2 (Cell
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) - Very good acoustic analysis skills - Good knowledge of speech production models - Very good statistical analysis skills - Good academic English skills (C1) - Very good programming skills (Matlab, Python
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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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analyses (bioinformatic and statistical) of environment and microbiome data, including amplicon sequencing libraries, metagenomes, and metatranscriptomes. • Publish (as lead and co-author) in leading
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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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of experimental statistics, signal processing and excellent programming skills (eg Python, R, ...). Previous experience with model-based fMRI experiments, advanced multivariate data analysis and computational
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; manage timing, triggers, and metadata; curate datasets to BIDS/MEG-BIDS. * Modeling & statistics: implement laminar source modeling; derive beta-burst features (timing, rate, waveform); link neural