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infrastructure capabilities and expertise through R&D engagements and skills development programmes to academia, industry and public sector organisations. With a highly ambitious leading-edge Strategy for Advanced
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. Internship and cooperative education programs. Advisory committees and industry partnerships. Teaching : Curriculum development and delivery. Pedagogical practices and instructional materials for various
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Manufacturing (SMMG). These highly integrated and interlaced disciplines not only emphasize theoretical framework and experimental validation, but also attend to computational modeling and simulation. The Hub is
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a machinist with additional specialties in teaching/instruction, Occupational Safety, Mechatronics and Industry 4.0/5.0/6.0 technologies. This position integrates teaching, occupational safety
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who are committed to applied learning, real-world case studies, and industry-aligned best practices. This position requires on-campus presence during the academic year to: Deliver instruction consistent
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, manufacturing) by creating applications for critical systems, adaptive and autonomous systems, advanced perception, diagnostics, quality control, and prediction systems. Further research areas include precision
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for delivering high-quality classroom and hands-on instruction that prepares students for careers as electric lineworkers. This role emphasizes safety, industry standards, and practical skill development aligned
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, as well as from industry. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294560/phd-research-fellow-in-deep-learning-for-medical-imaging-and-multi-modal-data-in
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data science - neuroscience and neural engineering - bio-statistics and AI-healthcare - smart/semi-conductor manufacturing - AI/robotics/autonomous systems - aerospace and microelectronics engineering
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/or interdisciplinary methods with focus in smart manufacturing (Industry 4.0). Areas of application include, but are not limited to, additive manufacturing, industrialized construction and