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computational models to capture the Multiphysics behavior— including fluid flow, heat transfer, and reaction dynamics—governing the co-precipitation process. Leveraging the ASCC supercomputer at UM6P, three
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—governing the co-precipitation process. Leveraging the ASCC supercomputer at UM6P, three-dimensional CFD simulations based on the Reynolds-Averaged Navier–Stokes (RANS) approach will be performed to model two
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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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, participate in grant writing activities, and seek external funding opportunities to support ongoing research projects. Contribute on the group’s activities in processing of sustainable materials, (bio)polymer
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. The candidate will contribute to the mechanical design, composite fabrication, and experimental validation of UAV structures, integrating morphing wings and additive manufacturing processes for high-performance
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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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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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, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced techniques like sensitivity analysis and process simulations, the candidate will improve yields and energy efficiency
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mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding