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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
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libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications and machine learning. Integrate and benchmark the GINGKO library, a sparse solver
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based on the balance between organic (dead biomass recycling) and mineral (chemical weathering or added sources by fertilization) sources. To achieve this goal the project aims at make use of isotopes, in
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areas to gain exposure and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and implementation. Identify areas of improvement within
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facilitating teaching, capacity building, training and interaction in the project sites, when necessary. Conduct systematic reviews and meta-analysis and synthesis of outputs to produce peer-reviewed
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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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pilot tests. Draft technical reports and scientific publications. Coordinate with internal researchers, external labs, and industrial partners. Candidate Profile: Required qualifications : PhD in Mineral
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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