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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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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood Additional Information Benefits EDF Lab working conditions. EDF Lab working conditions. Selection process Website for additional job details https://jobs.inria.fr/public
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dynamics; Movement, reproduction, and mortality processes; Intervention scenarios. Parameterization and structuring of input data. Support for participatory modeling - Preparation of stakeholder workshops
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composite (ii) design and optimization of the process to assemble both catholyte and full cells. A strong effort will be put on optimizing elaboration protocol of the materials to insure monitoring
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and at the facility of the University of Jyväskylä. Where to apply Website https://amethis.doctorat.org/amethis-client/prd/consulter/offre/3755 Requirements Research FieldPhysicsEducation LevelMaster
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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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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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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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investigates behavioural and cognitive processes involved in major mental functions (perception, attention, memory, language and temporality). It explores the neural basis of these functions, as
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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