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for applicants to also have: Honours/Masters degree in either Engineering, Computer Science or IT related fields. Experience in Deep Learning, Computer Vision, and Python programming Interest in
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, including discrete and continuous decoding of hand and finger activity Develop egocentric computer-vision methods for understanding hands, objects, hand–object interactions, contacts, affordances, and task
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Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit of visual learning theory, the PhD student will develop methods for
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, mechanical engineering, mathematics, computer engineering, engineering acoustics, or another subject relevant to the research area Knowledge of numerical computational methods and/or FEM-based modelling
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strength and an asset. Description of the workplace The position is in the research group led by Dr. Danqing Shi at the Department of Computer Science, Faculty of Engineering (LTH), Lund University. The
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transportation engineering with a focus on active transportation safety and artificial intelligence (AI). This interdisciplinary role emphasizes developing and deploying AI tools—especially vision-based and
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: Bachelor of Engineering (Honours) Bachelor of Engineering (Honours) (Professional) Master of Engineering have a distinction average, or higher, from the previous year of study. Selection criteria
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team of researchers working at the interface of structural engineering, earthquake engineering, and heritage conservation, and will have opportunities for collaboration and research visits in Croatia
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, School of Information, School of Kinesiology, College of Architecture & Urban Planning, and School of Art & Design to work on robot learning and foundational models, perception and computer vision
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(1993:100)). Desirable qualifications Master’s degree in mechanical engineering or equivalent subject. Good knowledge of computer-aided engineering approaches, where nonlinear FEM, rule-based design