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collaboration with the University of Zurich. Mission The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling
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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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to validate their performances. The second objective will focus on the design, realization and optimization of compact fiber lasers and amplifiers operating in continuous wave regime. Power-scaling and
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chemicals (e.g., HF). In this project, we propose to develop the synthesis of MXenes by chemical vapor deposition (CVD) and by using molten salts. The work at IS2M will consist of optimizing the synthesis
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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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operations of chemical (mixing process in deep bed reaction systems), petroleum (oil-water separation systems), and biomedical industries (drug delivery encapsulating system) as well as in environmental
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, operate at higher temperatures (1450°C ≈ 2700°F), and have longer lifespans. The study presented here focuses on the development of CMCs based on the silicon-carbon-nitrogen (Si-C-N) ternary system
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characterization of the material. - Establish and optimize experimental protocols. - Check the performance of the instruments. - Ensure the training and supervision of users. 2. Experimental characterization
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to quantify energy exchanges (work, heat), understand the temperature evolution of the resonator, and interpret the role of information when the system is subject to feedback control. The project
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conceptual DFT (linear response function, Fukui functions) or QTAIM theory (delocalization index), and their validation on a set of compounds known from the literature - interfacing a MLIP (Machine-Learned