145 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Morocco
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. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406215/agc-open-rank-facul… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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activities. Qualifications: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field. Strong background in machine learning, particularly deep learning and natural
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https://www.timeshighereducation.com/unijobs/listing/406466/asari-postdoc-in-zo… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E
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letter, and relevant publications. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406106/msn-postdoctoral-po… Requirements Additional Information STATUS: EXPIRED X (formerly
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Job Offer: Postdoctoral Researcher Development and Implementation of an Integrated and Sustainable Architecture: Application to the Jorf Lasfar Supply Chain Mohammed VI Polytechnic University (https
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geospatial modeling approaches to analyze urban environmental processes. • Apply machine learning and geospatial data analysis techniques to large Earth Observation datasets. • Produce high-quality
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. • Contribute to interdisciplinary research projects within the CUS related to urban sustainability, environmental monitoring, and urban resilience. Key Duties • Design and implement machine learning and deep
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, proteomics, metabolomics, microbiome). Strong expertise in machine learning, deep learning, and advanced AI frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with bioinformatics tools and databases
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to revolutionize agriculture in Morocco by combining cutting-edge technologies, including crop growth models, remote sensing data, data assimilation, machine learning, and seasonal weather forecasts. As a
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models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural networks and grey-box modeling) to enable predictive simulations of chemical and biochemical