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opportunity to choose between two missions: • Mission 1: Improve new automated algorithmic schemes to quickly, efficiently and robustly detect and extract recorded geophysical signals related to earthquakes
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Detecting generated
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) for the detection of POPs. These sensors will be functionalized with next-generation biochemical probes. Since the studied environments are highly complex, the ability to exploit the intrinsic multi-parametric
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of DAS to detect transient tectonic deformations, such as slow earthquakes, in order to improve our observation capabilities of the large subduction fault in Chile. Three DAS instruments have continuously
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29 Aug 2025 Job Information Organisation/Company CNRS Department Centre de Recherche En Acquisition et Traitement de l'Image pour la Santé Research Field Engineering Computer science Mathematics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 18 Sep 2025 -...
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of this postdoctoral position, in
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, such as Bayesian approaches and fossilized birth–death models, to reconstruct robust phylogenies and estimate divergence times. It also investigates macroevolutionary dynamics, including variation in
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quality control. * Design and implement the end-to-end analysis pipeline: preprocessing, source reconstruction, depth-resolved (laminar) analyses, and beta burst detection/analysis; produce reusable, well
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appreciated. - Advanced statistical modeling (GLMMs, state-space models, stochastic Bayesian programming) in R - Experience with bioinformatics, if possible experience in the use of RAD-seq and/or lcWGS data
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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