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(Electrical Engineering, Electronics, Telecommunications) at Paul Sabatier University. The PhD candidate will be supervised by Alain Estève and David Pech at LAAS-CNRS (Toulouse), within the MRS team (Reactive
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5 Mar 2025 Job Information Organisation/Company CNRS Department Groupe de Recherche En Matériaux, Microélectronique, Acoustique, Nanotechnologies Research Field Chemistry Physics Technology
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10 Mar 2025 Job Information Organisation/Company CNRS Department INSIS Research Field Engineering » Biomedical engineering Engineering » Electrical engineering Engineering » Electronic engineering
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the laboratory's technological and characterization platform under the supervision of experienced engineers in TEAM service.The PhD student will benefit from all the facilities available at LAAS-CNRS: micro and
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11 Mar 2025 Job Information Organisation/Company CNRS Department Institut d'électronique, de microélectronique et de nanotechnologie Research Field Engineering Physics Technology Researcher Profile
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to benchmark ligand dissociation energies is key to improving computational models and enhancing catalytic efficiency. This PhD project aims to provide fundamental insights into ligand dissociation and catalytic
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to benchmark ligand dissociation energies is key to improving computational models and enhancing catalytic efficiency. This PhD project aims to provide fundamental insights into ligand dissociation and catalytic
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
Specific Requirements PROFILE: Engineer and / or Master of Science degree (candidates may apply prior to obtaining their master's degree. The PhD will start though after the degree is succesfully
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. The candidate will join Nicolas Bachelard's team, composed of 3 PhD students working on related themes. He or she will benefit from daily interactions with the supervisor and regular meetings to best guide
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/candidatOffres/show/id_offre/129431 Requirements Specific Requirements Profile of the candidate: The candidate must hold a Master's or Engineering degree (Bac +5) in the field of environmental data analysis