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the use of artificial intelligence to design new materials will be appreciated, particularly in the context of optimizing electrode and electrolyte properties for electrochemical devices. The LIMSET is
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. The successful candidate will collaborate with cross-disciplinary teams (biologists, engineers, chemists) to design, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced
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of water intended for agricultural use. The selected candidate will contribute to the development and optimization of desalination processes (membrane-RO), the analysis of treated water quality (especially
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testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing
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Location: Mohammed VI Polytechnic University (UM6P) Duration: [12–24 months, renewable based on performance] Start Date: 01-09-2025 Field: Catalysis,separation Chemical Engineering About UM6P
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, testing, and demonstration of novel CCUS technologies Process simulation, cost, life cycle, and social assessment of CCUS value chains Reactor design, optimization, and sizing using phenomenological and/or
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bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models, applying them to diverse bacterial use cases, and contributing to the development
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friendly coatings. Key Responsibilities Research and Development: Design, synthesize, and characterize green or ecological materials for agronomic applications. Material Optimization: Develop functional
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, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Job description: ACER invites applications for open rank positions to work as post-doctoral researchers in
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synthesize high-quality perovskite materials tailored for photovoltaic applications, ensuring optimized properties for solar cell performance. Thin-Film Deposition using various deposition techniques such as