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Low Temperature group at Institut Néel is involved in one of the projects consisting in developing a continuous nuclear demagnetization refrigerator operating in the 1 mK range. In the same program, a development
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
model, both variational estimators and Monte Carlo samplers have been designed and implemented during the pandemic to estimate the reproduction number of the Covid19. The major bottleneck
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with low-depth sequenced whole genome data. These data could help refine the study of inbreeding, estimate past effective population sizes, and potentially test an evolutionary response to the current
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Acoustic Sensing'), we are looking to recruit a post-doctoral student to work on very low frequency signals recorded by Distributed Acoustic Sensing (DAS). This project aims to explore the capabilities
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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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electromagnetic cascade to be obtained. The initial results obtained with a small prototype subjected to cosmic rays and particle test beams at CERN are promising. They show that a stochastic sampling term of order
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treatment and analysis. The samples can range from model systems like 2D materials or thin lamella of semiconducting samples, going closer to devices like phase-change random access memory (PCRAM
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, in the presence of water. The aim is to determine the oxidation mechanisms and kinetics of various metallic nuclear wastes in molten salts in order to define the optimum conditions for this process