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Infrastructure? No Offer Description (English version below) Ce projet de thèse intéressera particulièrement les candidats aux doctorat ayant des compétences de développement informatique, un master 2 avec un
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. The successful candidate will work on two main axes: (i) the development of electrochemical hydrogenation reactions, including CO2 conversion to formate, in a homogeneous medium, and (ii) the immobilization
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. The project consists of synthesizing and identifying new materials, original structures based on iron and manganese oxide that could be used as electrode materials. Requirements Research FieldChemistryEducation
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person will be hired by AMIDEX, Aix Marseille University and will mostly work in the GC3I group at IRFM CEA. The activities of the GC3I are organized into three main themes: - Administration of local IT
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within the framework of the LEXHISCIENCES program; Implement methods and tools for analyzing, formatting and editing historical and cultural sources and data. Main activities: -Participate in
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., Curiosity, EMILI). - The Ph.D. student will be fully integrated to the LATMOS activities in Guyancourt (main affiliation and main work location) in collaboration with the LGPM of the CentraleSupelec school
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National Research Institute for Agriculture, Food and Environment | Saint Martin, Midi Pyrenees | France | 3 days ago
The main objective of the thesis is to develop a novel, adaptable 3D modelling tool for simulating forces acting on structures. This model will account for the different mechanisms with influence
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. The strong objective of carbon neutrality by 2050 requires the development of disruptive solutions and appropriate training for the engineers of tomorrow. Today, a promising approach, adopted by many original
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and analytical skills Motivated to learn new techniques Good English communication skill Specific Requirements Please send a resume, a cover letter as well as the grade transcript of your master and of
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that blockchain may be an interesting solution to support trustworthy AI. Trustworthy Machine Learning The primary obstacle to achieving trustworthy learning is the potential compromise of privacy during