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candidate's motivation in relation to this job profile. A detailed curriculum vitae. Brief research statement. Contact information of 3 referees (PhD mentor and referees familiar with the applicant’s education
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an international multidisciplinary team tasked with developing data-driven decision-support tools to decarbonize mobile mining fleets. Focusing on strip-mining operations, your work will evaluate
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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stream. The candidate will also be expected to participate in UM6P's collective projects and external missions, and to provide support to students (PhD and Master), i.e., supervision for the writing
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on multiple components by analyzing maintenance data, performing failure analysis and giving recommendations backed by laboratory testing and emulation results. The candidate must be comfortable with operating
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sustainable urban development. Responsibilities: Research and Development: Conduct original research on NBS, including the design and implementation of field projects, data analysis, and publication of results
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of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python programming / package development, Co-supervise PhD and undergraduate students
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design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or
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soil moisture Participate in field data collection and data analysis Satellite images processing Publish research findings in peer-reviewed journals and present results at conferences and workshops
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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