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an electrolysis cell. In particular, stability will be assessed using accelerated degradation tests, and the structural and morphological evolution of the catalysts will be monitored via physicochemical techniques
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natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges related to energy transition, resource conservation and
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Laboratory of Oceanography of Villefranche | Villefranche sur Mer, Provence Alpes Cote d Azur | France | 26 days ago
consolidator UNIVOC project, the CNRS is seeking an enthusiastic postdoc specialized in atmospheric sciences. Global change is compromising the Ocean and Human Health by favoring the development of Harmful Algal
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Characterization work. Development and characterization
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properties will be investigated using state-of-the-art high-resolution TEM at the Institut Néel to guide the optimization of growth conditions and the development of growth models. As a powerful and
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world. • Network & Collaborations: Your work will be supported by strategic collaborations with LabEx member laboratories (CEA-LETI, CROMA, TIMA, LMGP) for the development of processes, advanced metrology
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within a top-tier international environment. The goal of the proposed project is to unravel new mechanisms of ovarian regulation in mammals involving the ovarian epithelium during development, ageing and
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platforms and 1,600 partner companies. For more information: https://www.imt-mines-ales.fr You will be affiliated with the Mines Alès Materials Centre (C2MA) at IMT Mines Alès and the PCH research unit. You
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Lyon / CNRS ; Institut Fresnel, Marseille) aims to explore a novel approach involving the development of fluorescently encoded synthetic polymers and also DNA origamis, combined with an optical
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the extent of glaciers over time using moraine dating and reconstruct the evolution of the glacier fronts of the studied glaciers using a statistical model. • Identify and quantify the influence