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BeFC and Univ. Grenoble Alpes, CNRS, 38000 Grenoble, France | Grenoble, Rhone Alpes | France | about 11 hours ago
16 Apr 2026 Job Information Organisation/Company BeFC and Univ. Grenoble Alpes, CNRS, 38000 Grenoble, France Research Field Chemistry Chemistry Technology » Energy technology Researcher Profile
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-ÉtiennePostal Code42000Geofield Contact City Saint-Étienne Website http://univ-st-etienne.fr Street 10 rue Tréfilerie Postal Code 42100 E-Mail drh-enseignants@univ-st-etienne.fr STATUS: EXPIRED X (formerly
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PhD offer : Design and performance evaluation of innovative DES-based porous liquids for VOC capture
project, the PhD candidate will work at the interface of solution chemistry, thermodynamics, and process engineering. The research focuses on the development of Type 3 Porous Liquids (T3PLs) obtained by
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to develop new cyclic (alkyl)(amino)carbene (CAAC)-based ligands and investigate their coordination chemistry with earth-abundant metals to enable efficient and sustainable hydrogenation catalysis. Catalytic
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accurately. The ANR FaSiRé project, led by C. Perrin (Laboratory of Planetology and Geosciences, CNAP/Univ. Nantes), aims to fill this gap by combining geomorphological, palaeoseismological and archaeological
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to carbon metabolism—should enable the development of new environmentally sustainable strategies to enhance crop productivity. The development of legume crops, particularly pea (Pisum sativum), is essential
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City NANTES Website http://WWW.UNIV-NANTES.FR Street 1 QUAI DE TOURVILLE, BP 13522, 44035 NANTES CEDEX 01 E-Mail francois.arleo@subatech.in2p3.fr paul.caucal@univ-nantes.fr STATUS: EXPIRED X (formerly
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METZ Website https://lem3.univ-lorraine.fr/ Street 7 rue Félix Savart Postal Code 57070 E-Mail mohamed.jebahi@univ-lorraine.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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methodological developments. It makes it possible not only to reveal paintings invisible to the naked eye, but also—by combining spectroscopy and imaging—to access the mineralogical nature and spatial distribution
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regimes. This PhD project aims to develop predictive pore network models integrated with thermodynamics and upscaling methods toward reservoir-scale applications. We seek candidates with a strong background