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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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seismicity catalogs, including global (teleseismic) and regional seismic / hydro-acoustic datasets. The postdoctoral researcher will design and implement novel methodologies to characterize the statistical
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(cytoplasmic hitchhiking), applying mitophylogenomics within a robust statistical framework. Second, she/he will assess the effects of these symbionts on nuclear genetic differentiation among tick populations
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of eDNA communities • Synthesis of environmental data from sampled lakes • Statistical analysis of biodiversity and environmental data • Participation in fieldwork • Writing scientific articles and
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; - interact closely with the team of Dr. François Robin (Sorbonne University), project partner for the development of experimental results and bioinformatics approaches; - develop statistical tools
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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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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