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. Simulating and evaluating various extraction scenarios, considering industrial constraints. Collaborating closely with field and operational teams to integrate proposed solutions. Conducting literature reviews
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of improvement within the research structure using integrated management approaches in pursuit of capacity building/strengthening and the preservation of scientific rigor in research studies. Support if required
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international funding to support and maintain integrated research programs. Supervise graduate and undergraduate students, develop teaching materials, and attract high level-students. Contribute
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, while integrating real-time data into cloud platforms to develop reliable, secure, and scalable solutions. Main tasks and responsibilities Design, develop, and test IoT solutions for air quality
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materials. About the project: This project aims to lower energy consumption and increase the water recovery of seawater desalination using the concept of desalination dilution by integrating a hybrid Forward
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(OpenStreetMap, Copernicus, Google Earth Engine, etc.). Experience in processing, integrating, and visualizing large urban datasets (mobility, environment, infrastructure, demographics, etc.). Programming skills
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of urbanization based on urban morphology (compact or sprawling). The candidate will analyze real case studies, integrate variables related to infrastructure, health, and the environment, and simulate scenarios
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infrastructure, mobility, and energy management. Integrate real-time data from sensors and IoT devices to develop dynamic models. Model complex interactions between physical systems (infrastructure) and digital
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candidate will work on innovative solutions that integrate advanced technologies, urban data, and sustainable approaches to enhance the performance of waste management systems. Key Responsibilities
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
-dimensionality and complexity of metabolomics data, requiring advanced AI/ML techniques for robust analysis and interpretation. Integration of multi-omics data (genomics, transcriptomics, proteomics, and