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within plant microbiomes. As a postdoc, you will delve into genomics and metagenomics data to dissect the signaling systems of plant-associated bacteria and analyze the genomic features of beneficial
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Engineering, Materials Science, or a related field. Extensive experience in unit operations and chemical processes. Proven expertise in formulation development and product optimization. Ability to design and
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trials, analyze data, and publish findings in high-impact journals. The role requires active participation in an interdisciplinary team to evaluate and optimize integrated soil fertility management
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for teamwork, problem-solving, and collaborative relationships Strong technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless
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formulation development and product optimization. Ability to design and evaluate the performance of unit operations. Experience in physicochemical characterization techniques (rheology, particle size analysis
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, interdisciplinary research team. The position focuses on the development, optimization, and integration of advanced bioprocesses for the bioleaching and biorecovery of rare earth elements (REEs) from secondary
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, Professor Venturi’s research program extends to unraveling the intricacies of bacterial cell-cell signaling within plant microbiomes. As a postdoc, you will delve into genomics and metagenomics data
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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications
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positions Job description: The Chemical & Biochemical Sciences department (CBS) at Mohammed VI Polytechnic University is currently offering an opportunity for a full-time Postdoc in the field of applied
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and machine learning to optimize treatment conditions. Contribute to the development of reproducible stress priming methods and assist in transferring knowledge to agricultural stakeholders. Required