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: Mathematical Modeling: Develop mathematical models to simulate and optimize the entire waste management chain—from collection to treatment. Data Integration and Analysis: Integrate real-time and historical data
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), AgroBioSciences (AgBS) Job Title: Post-Doctoral position Area of specialization: Genomics, Molecular Biology and Bioinformatics. Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI
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1400 large container (mini-plots) to study water dynamics and drought scenarios simulation under close-to-field conditions, and (ii) a fully autonomous phenotyping robot, Phenomobile.v2+, equipped with a
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to recruiting high-quality academics and professionals to contribute to its dynamic, quality-driven research environment. Job Description The Energy4Water (E4W) at UM6P is seeking applications for two
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learning, imitation learning, and the integration of large language, vision–language, and vision–language–action models to improve generalization. A key objective is to design lightweight and efficient
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of GPP (gross primary production) to a nutritional stress for K (Cornut et al., 2022) The overall objective of this postdoc project is to improve our knowledge of nutritional dynamics in forest ecosystems
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candidate will investigate robot learning methods for control and decision-making on edge robotic platforms. Research will focus on reinforcement learning, imitation learning, and the integration of large
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(eukaryotic cell lines). Proven experience in recombinant protein expression (transient and/or stable expression systems). Strong expertise in molecular biology techniques (nucleic acid extraction, PCR, RT-PCR
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exploration and characterization of igneous systems. The successful candidate will join a dynamic research group focused on advancing our understanding of carbonatite geology, mineralization processes, and
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. The institute consists of a multidisciplinary team of agronomists, biochemists, molecular biologists, bioprocess specialists, animal scientist, etc to respond to regional challenges affecting marginal