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focused on automatically detecting vulnerabilities and malware in software. It is part of the BVSec project, which aims to enhance the security of IT systems and foster scientific innovation in
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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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, clustering analyses, propagating location and other uncertainties...) of mid-ocean ridge catalogs, using standard, Bayesian and machine learning techniques. ⁃ Implement methodologies that improve estimates
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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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work focused on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and
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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 the CASSOULET project concerns
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, led by Orange Labs, whose objective is to design and implement efficient algorithms for computing optimal solutions in order to recommend the best actions a telecommunication operator can undertake for
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Description The project aims to implement proton-detected fast MAS solid-state NMR methods to investigate the structure of viral membrane proteins and their interactions with nucleic acids. A central objective
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the supervision of Pierre Wagner (professor at Paris 1 Panthéon-Sorbonne University). The postdoctoral researcher will contribute to the objectives of the AxDef project, which focuses on definitions and in
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maximum likelihood and Bayesian inference frameworks. - Data mining in genome databases. - Large-scale phylogeny reconstruction (archaea, bacteria, and eukaryotes). - Implementation of complex sequence