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processes, and Storage solutions. Successful candidates will have the opportunity to engage in cutting-edge research aimed at developing innovative strategies for reducing carbon emissions and promoting
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to scientific publications and project reporting Candidate Profile PhD in electrochemistry, chemical engineering, materials science, or a related field. Hands-on experience with electrodialysis, electrochemical
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using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding
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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large
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. The primary objective is to design robust and efficient planning solutions—integrated within a digital twin—that account for the uncertainties and variability inherent in industrial processes. Machine learning
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to agricultural water management, through key research tasks such as conducting fieldwork, contributing to land and irrigation suitability mapping, irrigation design and management, processing and analysis of data
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Job Title: ARC_AIR - Postdoctoral Researcher in Renewable Energy Systems, Water Harvesting Technologies, Condensation and Sorption Processes Number of positions: 2 About UM6P: Located in the heart
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, including experts in mineral engineering, chemistry, and process optimization. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding applications
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testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing
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at scientific meetings and conferences. Co-supervise ungraduated, graduate and PhD students Participate in developing research proposals and programs in the area of collaboration with multidisciplinary