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. Experience in experimental data analysis and modeling of nutrient release processes. Hands-on experience in field preparation and establishment of multisite field trials under different soil and climate
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assessment of CCUS value chains Reactor design, optimization, and sizing using phenomenological and/or CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with
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equilibria, and carbonate system modeling. Good understanding of calcium carbonate behavior and dissolution kinetics. Hands-on experience with experimental gas neutralization setups. Proficiency in mineral
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performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing, comminution modeling, and ore characterization, and will contribute to developing
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and modeling. Gate cycle modeling. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404289/mascir-post-doctora… Requirements Additional Information STATUS: EXPIRED X (formerly
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methods for detecting the timing and frequency of irrigation events from time-series remote sensing data. Develop models and techniques to quantify water supply and irrigation efficiency in agricultural
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data. Develop models and techniques to quantify water supply and irrigation efficiency in agricultural landscapes. Collaborate with multidisciplinary teams to integrate remote sensing data with ground
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business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in
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analytical techniques for adsorbent. catalyst and product characterization. Knowledge of process modeling software (e.g., Aspen Plus, COMSOL, or equivalent) is a plus. Excellent written and oral
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environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its