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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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-level visible laser in double-clad Pr3+-doped fluoride fiber pumped by a GaN diode,” Opt. Lett. 46, 74-77 (2021). This postdoc project focuses on the development of monolithic all-fiber laser systems
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of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
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the most informative polarimetric parameters and optimal wavelengths for detecting abiotic stress. This approach will contribute to more accurate digital phenotyping, supporting sustainable crop monitoring
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morphology of splash-cups optimal for dispersal? The postdoc will characterise the efficiency of dispersal of a splash-cup as a function of its geometry, in terms of number of gemmae dispersed and reach of
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postdoc will: ● Start by familiarizing with existing research and methods for genome interpretation, such as the AI4GI lab previous publications (https://academic.oup.com/nar/article/50/3/e16/6430850?login
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demonstrating a proof of concept for low-power logic gates based on spin waves. The work involves experimental research. The post-doc will be responsible for: - the growth and optimization of magnetic thin films
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to explore systems in which light (near-infrared) and acoustic phonons (20–300 GHz) can be confined simultaneously. Numerical simulation and optimization of acoustic and optical resonators Design and
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to control elastic wave propagation at gigahertz frequencies. The recruited postdoc will work in close collaboration with other members of the team who will perform the optical and acoustic characterization
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, each with their own strengths and weaknesses. The postdoc research project is to better understand the performance of this algorithm in the context of LP and MILP. Part of the ANR JCJC project Towards