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. • Isotopic analyses: use of MC-ICP-MS (for Zn) and GC-IRMS (for amino acids). • Data processing and interpretation. • Scientific dissemination: presentations at conferences (national and international) and
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changeYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in atmospheric physics with a speciality in cloud, radiative and convective processes - Some experience with conceptual
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physics and quantum chromodynamics. Knowledge of computer programming is a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR3681-CAMFLO-002/Default.aspx Work Location(s) Number
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- Study of stability under operation - Development of kinetic models - Reactor modeling The work will be carried out at the ICPEES (Institut de chimie et Procéder pour l'Energie, l'Environnement et la Santé
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bachelor's students and ensuring the proper maintenance and operation of the synthesis lab in accordance with the recommendations provided by funding agencies and the laboratory administration. • Develop
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partial and total reduction processes of the films, with or without capping layers; • Performing structural and electronic characterization using X-ray diffraction and synchrotron-based experiments, in
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processes. Forthcoming observations will also include, in addition to SPIRou near-infrared spectra, optical spectra simultaneously collected with the ESPaDOnS spectropolarimeter at CFHT, further broadening
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the growth of carbon chains. • Collaborate with astrochemists and observers to validate theoretical predictions. This position will focus on modeling dust production in supernova explosions, a key process for
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the development and operation of superconducting qubits. You will be working closely with PhD students and other postdoctoral researchers and will be able to benefit from the expertise developed there and
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been proposed: traditional computer‑algebra methods [3], reduction of the problem modulo a prime p [6, 2], and symbolic‑numeric methods [4, 1]. This postdoc proposal concerns the second modular approach