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electromagnetic separation process to validate the selection of the appropriate design for treating, concentrating, and purifying the matrices under investigation. Job Description: The position is open to
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. Process simulation, cost, life cycle, and social assessment of CCUS value chains. Reactor design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong
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required; proficiency in French is a plus. Preferred Qualifications Experience in pyrochimical processing of oxide, sulfide, or silicate ores. Familiarity with thermodynamic simulation software (e.g
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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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to work both independently and within a collaborative research environment. Preferred qualifications : Experience in salt or potash processing. Familiarity with process modeling and simulation tools
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-phase and liquid-phase catalytic reactions. Conduct kinetic and mechanistic studies under realistic process conditions. Perform process simulations and scale-up assessments. Use advanced characterization
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structures, integrating morphing wings and additive manufacturing processes for high-performance and energy-efficient drones. Keywords: Morphing wings, composites, additive manufacturing, aerodynamics, UAV
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African agriculture. Water treatment and management which is oriented towards the development of cost-effective desalinization processes for agriculture and other uses, Renewable energy that aims
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
activities in processing of sustainable materials, (bio)polymer composites and their applications. Participate in the supervision of undergraduate, master’s, and doctoral students. Criteria of the candidate
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regarding the production of targeted crops in Africa, work with the project team and valorize data as review publications. Develop and implement simulation models to predict yields from secondary data sources