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sustainability in the built environment, focusing on the effective integration of renewable energy, resource efficiency, and waste reduction. The candidate must hold a PhD in Urban or Rural Development, Civil
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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-reviewed journals, present findings at conferences, and contribute to project reports and deliverables. Work closely with intersciplinary teams (agronomists, soil scientists, polymer chemists), supervise PhD
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Ionic CONductor) materials have a 3D structure allowing the fast diffusion of sodium during the electrochemical reaction of charge/ discharge as well as good structural and thermal stabilities
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diffusion of sodium during the electrochemical reaction of charge/ discharge as well as good structural and thermal stabilities. This project targets the synthesis, characterization, and electrochemical
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work and will be made by a French PhD student. Combining data from Eucalyptus stands and experimentations in Ecotron will allow boron fractionation between different soil, tree and water reservoir
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of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine
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: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R
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such as air quality monitoring, water leak detection and energy monitoring of electric vehicle batteries. The candidate will need to master sensor technologies, embedded systems, and communication protocols
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skills are expected: PhD in Chemical Engineering, Materials Science, Chemistry, or a related field. Expertise in adsorption or membrane-based separation technologies (e.g., gas separation, water treatment