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, with machine-learned interatomic potentials fine-tuned on in-house DFT calculations. The aim is to identify the elementary steps that control catalytic activity, and to predict how it responds to changes
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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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the sourcing of topics to the final defence Deploy the active learning formats of the College - BBL, PjBL, CBL - within the modules of the programs, in support of the Track Coordinators and of the teaching teams
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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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. The ideal candidate should have a strong background in artificial intelligence and machine learning, with demonstrated experience in developing and training neural networks for predictive modeling. Position
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technologies. The candidate will work at the intersection of Artificial Intelligence, Scientific Machine Learning, and Energy Materials, contributing to the design of self-driving laboratories and no-code
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related to the project’s objectives. • Process and analyze the collected data by implementing machine learning algorithms and artificial intelligence. • Develop a web-based geospatial interface
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, data science and machine learning Design and deliver the artificial intelligence teaching track, from data management and reproducibility to applied machine learning for chemistry, materials and process
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the data science and artificial intelligence content of the curriculum, from data management and reproducibility to applied machine learning Supervise data-driven modelling projects and the digital component
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desirable. Experience with artificial intelligence, machine learning, reinforcement learning, or optimization techniques applied to autonomous systems is considered an asset. Proficiency in relevant