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of the AI algorithms. Key duties Develop a robust framework to simulate streamflow decomposed into fast-flow and baseflow at multiple Moroccan watersheds. The candidate would have to test various fast-flow
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: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation and temperature in Morocco. This will involve data analysis, model
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modules to farmer’s, cooperatives, extension agents, etc. Data scheduling, collection, analysis, interpretation, and presentation. Supervise Postdoc, PhD and Master students as well as interns Project
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species using botanical identification keys and AI tools. Elaborate plant and soil databases Conduct ethnobotanical field surveys Elaborate atlas botanical book including design and content Data scheduling
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Solutions at the UM6P Data Center. Innovate and improve image analysis algorithms for plant trait quantification. Collaborate with international research teams and contribute to joint publications and
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schedule will be determined upon mutual agreement by the candidates and their respective UM6P and Waterloo co-supervisors. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/397659
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maximum total residency of two (2) years at Waterloo and a minimum total residency of one (1) year at UM6P. The details and schedule will be determined upon mutual agreement by the candidates and their
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of the extraction and beneficiation system. This work will require an understanding of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict
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conferences and journals. Overview: The successful candidate will join an interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific
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, seeks a postdoctoral candidate in wireless sensor networks and the Internet of Things. The successful candidate will join the group of Prof. Youssef Iraqi. Context Wireless sensor networks (WSNs) and