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approaches to model polarization. The aim of the project is to develop methodological tools to characterize and exploit the polarization information extracted from bivariate signals (i.e. two-dimensional
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found in these enzymes, as well as on trapped radical catalytic intermediates. To this end, various electron paramagnetic resonance (EPR) spectroscopy techniques will be employed (in continuous wave or
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for vehicular communications, with a focus on wave propagation characterization and radio channel modeling. • Contributing to the implementation and preparation of measurement campaigns. • Analyzing measurements
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focuses on particle physics, gravitational waves and the equation of state of nuclear matter, and is supported by the concurrent development of data science and analysis methodologies. L2IT is operated by
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state of art of frequency-dependent model of winding in electrical machines • task 2: the aim of the second task is to propose simplified models, derived from the detailed models typically used
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interactions), (vi) Uncertainty analysis (Monte Carlo simulations, surrogate modeling), (vii) Risk analysis. The position contributes to the ANR project IM-SURF (Impact and Mitigation of SURFace Seismic Waves