18 machine "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions in Morocco
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COLCOM - Postdoctoral Fellow in Machine Learning Employer MOHAMMED VI POLYTECHNIC UNIVERSITY Location Benguerir, Morocco (MA) Closing date 3 Sep 2026 View more categories View less categories
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COLCOM - Postdoctoral Researcher in Machine Learning for Energy Efficient IoT Networks Employer MOHAMMED VI POLYTECHNIC UNIVERSITY Location Benguerir, Morocco (MA) Closing date 31 Oct 2026 View more
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ecosystems and making strides towards sustainable agricultural solutions. Visit our website at https://agc.um6p.ma for further details. The ideal candidate must possess a PhD degree in Microbiology, Molecular
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Mohammed VI Polytechnic University ( https://www.um6p.ma/en ) is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its
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forest ecosystems traced by its isotopes: a modeling approach. Chem. Geol. 560, 119994. https://doi.org/10.1016/j.chemgeo.2020.119994 . Christina, M., Nouvellon, Y., Laclau, J. P., Stape, J. L., Bouillet
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data, data assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate
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lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model
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focused on Artificial Intelligence (AI)-driven retrosynthesis and reaction prediction. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic
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have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The
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successful candidate will contribute to the following research axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling