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-)electron microscopy. The other aim is to interpret the mass spectra, in particular through the synergistic use of MALDI-FT-ICR and ToF-SIMS, in order to evaluate the limits of the technique in terms
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
. MICROCOSME is an interdisciplinary team that includes applied mathematicians, engineers, computer scientists, biologists as well as experimentalists from the biology/physics team BIOP of the Université
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charge of the IMN experimental part of the ANR BiBOP project on electron microscopy and XPS spectroscopy under controlled illumination and environments. Perform structural, physicochemical, and optical
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will develop and operate a reproducible computational workflow that combines molecular and periodic electronic-structure calculations, and when appropriate time‑dependent methods. The workflow will be
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. This postdoc will be conducted within the ANR-funded ITS-STORY project, a multidisciplinary collaboration involving computer scientists, historians, ergonomists, the Mémorial de l'Internement et de la
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computer engineering, with a specialisation in electrical network analysis, energy markets and optimisation Where to apply Website https://www.aplitrak.com/?adid=VUdBLjA0MTI4Ljk5MDhAdWdhLmFwbGl0cmFrLmNvbQ
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light scattering and electron microcopy The quantification of encapsulated drugs by atomic absorption spectroscopy and HPLC-UV The evaluation of repeated radiations on the properties of PLGA polymer
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of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training The candidate can start
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apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes
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FieldComputer scienceYears of Research Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Skills/knowledge: computer vision, neural networks