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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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evolution and rarely align with climate model outputs. These models also exhibit biases due to the omission of certain physical processes, and their spatial resolution is often too coarse to be functional
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(between one and two weeks for each mission). A knowledge of various data processing techniques is essential, as is the ability to create reliable databases. Knowledge of the operation of an electrical grid
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driving conditions, stop-and-go operation, and progressive battery degradation. The objective of the PhD project is to develop estimation, fault detection/isolation, and fault-tolerant control methods
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properties. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7288-AMBGUA-025/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
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. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5095-KILAUD-080/Default.aspx Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent
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focuses on the structural and dynamic characterization of intrinsically disordered and multidomain proteins involved in major biological processes, combining experimental biophysics approaches (SAXS, NMR
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mass ejections, and the rapid expansion of research into exoplanetary radio emissions using large radio telescopes (NenuFAR, LOFAR). Methods Use and processing of space-based (radio, particle, magnetic
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processes related to physical oceanography, sea ice, and biogeochemistry. Its research focuses on the interactions among these components, their coupling with the other components of the Earth system, and
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of active matter and out-of-equilibrium stochastic processes: stochastic thermodynamics, entropy production, collective dynamics. • Machine-learning approaches for the physics of living systems. • Application