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facilitate adoption of enhanced heat transfer methods into renewable energy and propulsion technologies. The insights and computational tools developed intend to significantly advance thermal engineering
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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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scale-up - Physicochemical characterization of the encapsulation matrices - Evaluation of the method on the vaccines' biophysical attributes - Interaction with national and international partners - Data
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for logical foundations, a new linguistic layer representing the intermediate steps between natural language texts and formal proof documents, and the automatisation tools for the efficient construction
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history (PhD) - Methods and tools for data production (in-depth knowledge) - Professional environment and networks (general knowledge) - Legal and ethical framework (in-depth knowledge) - Written and oral
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Information Eligibility criteria 1. Fundamental knowledge • PhD in virology, molecular biology, or structural biology. • Strong knowledge of structural biology and protein–protein interaction methods. • Mastery
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. • Performance evaluation: analytical monitoring of metals using ICP and XRF, assessment of efficiency and selectivity. • Method development: implementation of innovative activation techniques (ultrasound
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PhD students, as well as two engineers and technicians. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7346-ANNPOR-168/Candidater.aspx Requirements Research FieldPhysicsEducation
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including 60 Researchers, 30 ITA, 50 PhD students/PostDoct and interns. The laboratory is located on the Campus Sciences et Ingénierie Rouen Normandie (in Saint Etienne du Rouvray), within the University
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ExperienceNone Research FieldEnvironmental scienceYears of Research ExperienceNone Additional Information Eligibility criteria Required Expertise: • a PhD in experimental petrology is required • a scientific