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CBS - Development and Optimization of Separation Processes for Water Treatment and Resource Recovery
, resins, and solvents according to the targeted impurities; Plan and conduct experiments at the laboratory and/or pilot scale; Optimize the operating parameters affecting process selectivity and efficiency
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expertise, the work may involve wireless communications, multi-robot coordination, trajectory planning, artificial intelligence, optimization, and the experimental validation of communication-aware robotic
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challenges. All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams. The research
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collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self-organized when they reach a
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Main Mission The position holder will be responsible for designing and implementing an optimized, resilient, and sustainable logistics architecture for the JORF-Lasfar site. His/her work will focus
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analysis (TEA). The successful candidate will: Develop innovative strategies for transforming industrial byproducts into high-performance porous adsorbent materials. Design and optimize structuring and
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higher-purity acid products, impurity valorization, and more sustainable industrial processing. The successful candidate will work on: Developing and optimizing selective purification and impurity-recovery
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processing. The successful candidate will work on: Developing and optimizing selective purification and impurity-recovery strategies for acidic and aqueous media, including selection of reagents, precipitation
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experimentation, modeling, simulation, and optimization of chemical processes. The successful candidate will work on the development of advanced process models combining experimental investigations with
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experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control methods is a plus Programming experience in MATLAB and/or Python Familiarity