43 data-"https:"-"https:"-"https:"-"https:"-"https:"-"INSERM" Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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CUS - Postdoctoral Researcher in Spatial Data Science Employer MOHAMMED VI POLYTECHNIC UNIVERSITY Location Benguerir, Morocco (MA) Closing date 3 Sep 2026 View more categories View less categories
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Multi-Omics Data Integration Employer MOHAMMED VI POLYTECHNIC UNIVERSITY Location Morocco (MA) Closing date 3 Sep 2026 View more
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Mohammed VI Polytechnic University ( https://www.um6p.ma/en ) is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its
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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 bacterial strains. This is a
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highly monitored since 2008 with an eddy-covariance flux tower together with numerous ancillary data related to water, carbon and nutrient cycles (Christina et al. 2017). The soils at this site are deep
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around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The
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with data-driven models (hybrid modeling) for improved accuracy and generalization. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive process
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in computer science promoting discovery and innovation. The College currently offers an engineering degree in computer engineering, and a doctoral program in computer science. About the Group The Data
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. The candidate will need to master sensor technologies, embedded systems, and communication protocols, while integrating real-time data into cloud platforms to develop reliable, secure, and scalable
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Science, fostering partnerships with industry and local stakeholders. Project summary (one line) Develop farmer-centric systems that fuse multi-modal remote sensing, soil and phenology data to enable crop