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15 Nov 2025 Job Information Organisation/Company CNRS Department Institut des Sciences Moléculaires d'Orsay Research Field Chemistry » Physical chemistry Chemistry » Computational chemistry
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience4 - 10 Additional Information Eligibility criteria - Must have a doctorate in chemistry, chemical engineering or material science. - A relevant
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Application Deadline 4 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not
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) information on pore distribution and (ii) computational domains to simulate CVI cycles. • Materials studied: Simple and pre-infiltrated fibrous textures using PIP, provided by project partners. • Acquisitions
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specializing in zeolites and porous materials, with a particular focus on biomedical applications and green chemistry. The project combines fundamental and applied research with the training and mentorship
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Information Eligibility criteria - PhD in theoretical chemistry applied to materials, materials physics, or computer science/applied mathematics; - Solid experience in DFT applied to periodic systems (codes
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, materials science, and wave physics. - the development of advanced micro- and nanofabrication processes based on SOI (Silicon-On-Insulator) technology - lithography - plasma etching - thin-film deposition
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specifically within the research team “Minéralogie, Pétrologie et Physique Planétaire (MP3)”. IMPMC hosts researchers with expertise spanning condensed matter physics, materials science, biology, and mineralogy
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of Materials Science (IS2M), under the supervision of Dr. A. Spangenberg, Director of Research.The Mulhouse Institute of Materials Science (IS2M) is a joint CNRS-University research unit located in Haute-Alsace
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field of molecular chemistry and hybrid functional materials. He/She will be involved in the design, experimental work and characterization of new molecular systems exhibiting tunable properties