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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
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seawater desalination using the concept of desalination dilution by integrating a hybrid Forward Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling
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: Experience in salt or potash processing. Familiarity with process modeling and simulation tools. Experience with industrial or pilot-scale testing. Application Documents: Interested candidates should submit
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: Support the development of AI and machine learning algorithms for autonomous navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration
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deficiencies. Quantify nutrient uptake, remobilization, and use efficiency using physiological, biochemical, and molecular tools. Collaborate with team members in data analysis, modeling, and interpretation