106 data-"https:"-"https:"-"https:"-"UCL"-"UCL" research jobs at MOHAMMED VI POLYTECHNIC UNIVERSITY
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Position Overview: We are seeking an outstanding Postdoctoral Researcher in Artificial Intelligence (AI) and Data Science with expertise in multi-omics data integration for health and precision
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multicultural working environment and a great team atmosphere. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409579/cus-postdoctoral-re… Requirements Additional Information STATUS
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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indirect costs of urbanization. Calibrate this model using real data from specific case studies. Simulate urbanization costs based on various climatic, morphological, and social scenarios. Formulate
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security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning
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decision-making for process design and operational strategies. Integration of first-principles (mechanistic) models with data-driven models (hybrid modeling) for improved accuracy and generalization
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Intelligence and Data Science. It is UNESCO’s reference center for artificial intelligence in Africa. Ai movement’s goal is to develop a trustworthy, ethical, responsible and inclusive AI on the African
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with the strategy of the Center for Urban Systems (CUS), which aims to promote sustainable, resilient, and data-driven urban development in Morocco and across Africa. The research will support the
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, urbanization, and increasing water demand. The role involves the integration of hydroclimatic, geospatial, and remote sensing data to support decision-making, strengthen urban water resilience, and contribute
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-on GHG measurement techniques. Capabilities to interpret measured data and translate it high quality into manuscripts Demonstrated experience of multidisciplinary research in the above research area. High