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concepts and profitability. In-depth knowledge of environmental sustainability standards. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization
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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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position within a Research Infrastructure? No Offer Description About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed
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within UM6P. The position is open to individuals who hold a Doctoral degree in the subject discipline from a recognized university. The candidate should demonstrate that their PhD work and past experience
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internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development
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institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
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manufacturing process to validate the selection of the appropriate design to desalinate brackish water and/or seawater. Job description: The position is open to candidates with a PhD or equivalent in a relevant
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learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an
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Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent