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engineering applications at the BEng, BSc, MSc, and PhD levels. In addition, there will be an obligation in continuous education on advanced machine learning methods and AI. The Section for Cognitive Systems
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 4 days ago
, · willingness to continue learning and work in a team, · strong communication skills, · active knowledge of the English language. Candidate advantage: · experience with real-time computer vision systems or edge
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Los Angeles Community College District | Los Angeles, California | United States | about 15 hours ago
Instructor with emphasis on developing and supporting diverse programs ranging from core Computer Science transfer courses to vocational curricula related to Data Science and Analytics, Machine Learning and AI
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: 6110051 Academic Enrichment Teacher Job #: 041682 Location Syracuse, NY Pay Range: $35.00 per hour Hours: Saturday Learning Academy: 9:00 am-1:00 pm Monday-Friday 5:00 pm-7:00 pm as scheduled by the Program
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users, thanks to the use of machine learning tools and techno-economic analyses. This project is aligned with the sustainable development goals (SDG) 7 and 10 of the United Nations, by promoting a low
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: Algorithm. Software architecture. Machine learning. Professional Experience: In programming and/or research, image processing, machine learning. In topics of machine learning applied to wireless
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/certification? Required Computer Applications: Microsoft Excel, Microsoft Word Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: Hands on computer experience, specifically
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education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus
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EngD: Physics-based AI for Intelligent Machining: Learning, Optimisation, and Uncertainty in Next-Generation CAM Software (sponsored by DigitalCNC) EPSRC Centre for Doctoral Training in Machining
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advanced analytical and statistical techniques to extract actionable insights from complex datasets. Train, evaluate, and continuously refine deep learning and machine learning models, prioritising