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in real time. The candidate will contribute to modeling interactions between physical and digital infrastructures to enhance energy management, transportation networks, and urban sustainability. Key
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for comprehensive systems biology modeling. Identification of causal relationships and biomarker discovery through integrative approaches. Time-series and longitudinal multi-omics data analysis for disease
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and model advanced systems based on condensation, sorption, or hybrid thermal processes using solar and alternative energy sources. Conduct laboratory investigations and field trials to assess
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air quality modeling tools. Experience with large datasets and data processing techniques. Excellent written and oral communication skills, including the ability to present complex research findings
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develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing
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processes. Furthermore, combining radar-derived surface soil moisture maps with a land surface model using a data assimilation approach has the potential to produce daily root zone soil moisture estimates
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Job Description As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic
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, Chemical Engineering, Process engineering or a related field. Requirement Strong knowledge in process engineering Proficiency in using simulation software for process modeling (e.g., ASPEN, SuperPro Designer
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. without vegetation. Studying dust deposition and its impact on energy performance. Analyzing meteorological, soil, and energy production data. Contributing to the modeling of PV performance under local
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, and optimization of inorganic materials for various sustainable energy processes. We work diligently to contribute to the competitiveness of Moroccan and African companies by conducting research across