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COLCOM: The School of Computer Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks
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and development. This unique, nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high
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and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research
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with industry partners and deliver results within defined deadlines. Education Successful candidates must hold a PhD degree in Materials Science, Chemical or Process Engineering, Mineral Processing, or a
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(master and PhD students) Excellent teamwork and communication skills Ability to work and coordinate with multidisciplinary and multicultural team of scientists Excellent networking ability and
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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 the metropolitan area of
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precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded or defended before start) in Computer Science, Remote-Sensing/Geoinformatics, Agricultural Data Science, or
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machine learning, with demonstrated experience in developing and training neural networks for predictive modeling. Position Requirements: The successful candidate is expected to: Build and evaluate chemical
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researchers and PhD students, and strong national and international collaborations, MSN is a growing force in materials research. Job Description Postdoctoral Researcher in Mineral Processing, Battery Materials
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implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic pathway prediction. Apply deep learning techniques to predict reaction outcomes, optimize reaction conditions