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diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine learning exists as the most promising technologies of big data analytics in industrial problems
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You will join the “Professional Learning & Technology” (PLT) section of the Faculty of Behavioural, Management & Social Sciences. The PLT section specializes in research on professional learning in and
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply
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of lightweight, logic-based machine learning approaches. In addition, agents must support collective decision-making to achieve system-wide optimisation rather than isolated, local improvements. Finally
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nontraditional students. Minimum 3.0 GPA Financial need. Award Varies Scopes Nontraditional and Military Student Services Deadline 05/15/2026 Supplemental Questions Please explain your future goals that will be
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or eCampus at BGSU. Must demonstrate financial need as verified by the Office of Student Financial Aid. Award Varies Scopes Nontraditional and Military Student Services Deadline 05/15/2026 You will be
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. Award Varies Scopes Nontraditional and Military Student Services Deadline 05/15/2026 You will be automatically considered based on your completed General Application. To complete the General Application
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, adaptive control strategies, and hybrid energy storage solutions to address key challenges in self-powered systems under dynamic environmental conditions by: Develop machine learning or heuristic-based
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and architectures that support efficient, secure, and scalable machine learning operations (MLOps) across resource-constrained environments for Edge AI. Ethical, and responsible FL for healthcare: In