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, collaborations, and partnerships with industrial institutions and other UM6P researchers/groups on multidisciplinary research projects. Criteria of the candidate: PhD in hydrometallurgy, applied chemistry
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. Proven experience in experimental design and data analysis, with proficiency in statistical software. Experience with soil sampling, laboratory techniques, and field research. Ability to work both
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
communication of results. Ensure strict adherence to health, safety, and environmental protection regulations in accordance with UM6P standards. Candidate Profile: PhD in plant ecology, environmental sciences
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The position is intended for a PhD holder in environmental engineering, geochemistry, chemical engineering, or a related field, with a strong interest in gas-liquid-solid reaction systems. The ideal candidate
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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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successful post-doc candidate will work with a professor of the College. The position is open to individuals with a PhD degree from a recognized university and with substantial expertise in Computer Systems
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Qualifications PhD in Microbiology, Immunology, Systems Biology, Bioinformatics, or a related discipline. Proven experience in microbiome research, particularly in gut microbiota. Experience with next-generation
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Researcher in the field of Fungal Biotechnology and Biomass Valorization. Candidates should hold a PhD in fungal biotechnology, fungal genetics, or a related field. Ability to engage professionally with a
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organizations. Publish the results in peer-reviewed journals. Supervise Master and PhD students. Education PhD in formulation/coating science or related field from a recognized University Requirement At least 5
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interplanetary travel. Autonomous Systems: Develop AI algorithms, robotics, and autonomous software to enhance spacecraft operations and exploration. Implement machine learning techniques for improved autonomy and