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an international scientific community. They also lead an R&D program on detection techniques, laser techniques, data acquisition techniques for experiments, and the manufacture of targets and thin films. The person
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. To that aim, both Stein-based bilevel optimization, empirical Bayesian and unsupervised deep learning approaches will be considered. The recruited postdoc researcher will tackle both implementation challenges
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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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spectrographs with various spectral resolutions, operating from 0.5 to 28 µm. Our group has developed the Bayesian modeling tool FORMOSA (Petrus et al. 2023). It allows the inference of low-resolution (R = λ/Δλ
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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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issues faced by the endosymbiont. Such import relies on organelle targeting peptides (oTPs) at the N-terminus of most organelle targeted proteins. These oTPs enable passage across the organelle envelope
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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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to pathological processes, most notably cancer progression. By targeting and degrading Cathepsin D, this project aims to establish an innovative therapeutic strategy for triple negative breast cancer, while also
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Description The objective will be to identify the most likely protein candidates among microbe–human pairs as targets for further comprehensive investigation. This challenge will be addressed by developing and
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features to behavior using GLMMs/Bayesian models; conduct sensitivity and robustness checks. * Method validation: benchmark alternative pipelines (filters, burst detectors, forward/inverse models); perform