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on astrophysical source populations and dark-matter signals, exploiting statistical correlations across datasets to break degeneracies that limit single-probe analyses. The framework will be validated on synthetic
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missions operated by LATMOS. The postdoc will employ deep learning approaches using satellite data and ground stations. -Understanding the infrared data from the IASI mission and identifying the channels
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an access to comb sensing and computing function through single device element. So far, our team has also developed reservoir computing measurement setup based on microwave optomechanical detection scheme and
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: developing precise parton shower algorithms and studying their consequences in jet physics. - Develop a parton shower algorithm that is precise to the next-to-single log for ee collisions. - Extend
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schemes with ultrashort electron wavepackets. The candidate will participate in one of the following research projects: • Developing a single-electron detector for flying electrons • Probing quantum
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geology and geology of sedimentary basin with, in particular, numerical modeling of geological processes (i.e, PhD in Earth Sciences or equivalent). Additional comments The candidate must include a single
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-MS) - Know how to write experimental reports - Know how to use chemical and spectroscopic characterization techniques (single- and multidimensional NMR) - Know how to use optical spectroscopy