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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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researchers with ample experience in MEG/EEG data analysis, BCIs, signal processing, deep learning for brain imaging analysis, biomedical statistics, dynamical systems and research on motor control. The lab has
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of target species, and 2) identify and map the risk of interactions between sea turtles and fishing gear. Main tasks: - Processing accelerometric/gyroscopic and acoustic signals related to the fine behaviors
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expertise in plant sciences, optical technologies, and data processing. The existing imaging Mueller polarimeter, which is sensitive to the microstructural properties of biological tissues, will serve as the
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Statistical Signal Processing, Data Science, Machine Learning with an interest in astrophysics - or a PhD in Astroparticle Physics with skills and professional experience in experimental data analysis. Website
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well as proven experience with ultrafast experimental techniques dedicated to the study of phonons. The desired skills include: Extensive experience (≥ 4 years) in the implementation and operation of pump–probe
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of Research Experience1 - 4 Additional Information Eligibility criteria The recruited individual must hold a PhD in electrical engineering, signal processing, or fluid mechanics. This position requires