26 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"EMBL" 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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across different omics layers and platforms. Cross-omics data fusion and representation learning for comprehensive systems biology modeling. Identification of causal relationships and biomarker
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predictive maintenance in chemical plants. Key Responsibilities: Create and implement hybrid AI models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural
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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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oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of
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monitoring agricultural emissions across Africa using satellite remote sensing, atmospheric modeling, and deep learning. Research Focus Estimate cropland emissions (NH 3 , N 2 O, CO 2 , CH 4 ) using