65 machine-learning-"https:"-"https:"-"https:"-"https:"-"OsloMet---storbyuniversitetet" positions in Morocco
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growing and supportive team with internationally recognized expertise in data management and machine learning. The group has a strong network of national and international collaborators in both academia and
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Position Summary: The UM6P Vanguard Center & The School of Applied Sciences & Engineering at UM6P invite applications for the position of Scientist in Data Science & Machine Learning to support the
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Position Summary: The UM6P Vanguard Center & The School of Applied Sciences & Engineering at UM6P invite applications for the position of Research Scientist in Data Science & Machine Learning
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applications for the position of Research Scientist in Data Science & Machine Learning to support the Wicked Problems (WiP) framework within our undergraduate program. The successful candidate will bring deep
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable
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dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable
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Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record
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broad and may include (but is not limited to): Machine learning for molecular and reaction property prediction AI-based reaction modeling and retrosynthetic analysis Data-driven approaches to spectroscopy
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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