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, data science applied to health or urban planning, smart urban systems, or a related field. Expertise in Big Data Analysis: Proven expertise in analyzing and processing large urban datasets for public
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. Simulation Tools: Proficiency in simulation software (e.g., AnyLogic, SimPy, MATLAB/Simulink) to replicate waste management systems. Waste Management Processes: In-depth understanding of waste collection
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
journals. Excellent communication and teamwork skills, with the ability to collaborate in multidisciplinary and clinical research settings. Application Process: Interested candidates should submit
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, the successful candidate will be expected to contribute to the realization of a wide range of scale-up studies of a membrane manufacturing process to validate the selection of the appropriate design to desalinate
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infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the
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processes. This project focuses on utilizing computational techniques to understand and enhance the performance of catalysts in reactions such as hydrogenation, oxidation, and biomass conversion. We
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university has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals to boost its quality-oriented research environment in
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and improving governance processes in cities, focusing on stakeholder dynamics and urban policy strategies. Responsibilities: Research and Analysis: Conduct original research on urban governance
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quantum dots for downconversion mechanism. Candidates should have demonstrated experience and hands-on expertise in chemical synthesis, functionalization, characterization, thin-film processing of colloidal
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language processing. Experience with transformer-based architectures (e.g., BERT, GPT) is highly desirable. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Experience with