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Field
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Field: Mining Engineering, Industrial Engineering, Operations Research, Artificial Intelligence Duration: 12 months, renewable once Location: UM6P, Benguerir Campus Preferred Start Date: As soon as
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and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
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of the following: artificial intelligence or the sociology of professions in a public sector context an internationally oriented research profile, documented through a PhD dissertation and/or research publications
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Computer Science, Artificial Intelligence, Cybersecurity, or related fields Expertise in AI and ML applications for cybersecurity and threat analysis Knowledge of supply chain security challenges and
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research in systematic biology. Skills required include bioinformatics, genomics, data science, artificial intelligence, mCT scanning, knowledge of bat biology, and multivariate statistics. Post Doctoral
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learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and geotechnical applications Data acquisition and processing from
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ensembles at high enough resolution and with enough members to adequately sample internal variability and capture rare events is a challenge. This project aims to explore data-driven Artificial Intelligence
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on visual and perception and decision-making in complex environments, with a focus on medical image perception and Artificial Intelligence (AI). This position offers hands-on experience with behavioral, eye
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challenge. This project aims to explore data-driven Artificial Intelligence/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines
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digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design