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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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. - Performing statistical analyses to correlate SWOT/GDP data - Drafting a manuscript summarizing the results The successful candidate will be based within the LOPS Coastal Oceanography team under the supervision
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communities to environmental stresses and the cascading effects on ecosystem functioning. - Setting up experiments - Ecophysiological measurements in the laboratory - Statistical analysis of collected data
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that incorporate horizontal transfers, and to use these models to obtain statistical estimates of the main evolutionary dynamics of TE families across species (for example, horizontal transfer and extinction rates
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concentrations”). The successful candidate will be required to collect data and process it using statistical analyses appropriate to the dataset. They will be required to write scientific articles based
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applications. The project aims to address fundamental theoretical questions related to the representation and measurement of the polarization state, as well as the use of Bayesian and/or statistical learning
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the dynamics and statistics of topological defects in active systems, using continuum theories of active ordered states. This project will require both numerical and analytical work. The position will be based
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, statistics, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology
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researcher recruited will be responsible for : 1 - laboratory assays of physiological biomarkers (of the impact of urban pollutants on sentinel organisms) and statistical treatment of the data obtained, 2 - co
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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