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offering solutions to complex problems and creating new possibilities. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future
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years of full-time study in the following engineering disciplines or computer science, awarded with honours: Mechanical, Mechatronics, Electronics or Computer Engineering b) Meet participating university
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learning and computer vision processes to the workers expertise. In this context, the objective of this project is to develop and evaluate AR applications to be used in the context of a natural cork
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Description Offer description: The University of Trás-os-Montes and Alto Douro (UTAD) open a call for one (1) Research Grant for Electrical and Computer Engineering PhD students in the frame of the R&D project
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» InformaticsEducation LevelBachelor Degree or equivalent Skills/Qualifications Mandatory requirements: Computer Science BSc. Be enrolled in a Computer Science MSc. Preferential factors: • Expertise in machine learning
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well as technology and automation, hence, presenting an interesting opportunity to evaluate the usability and effectiveness of applying augmented reality strategies to blend information derived from machine learning
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; Knowledge in in Machine Learning, Statistics, and Econometrics; Preferably Enrollment in the Master's program in Econometrics, Statistics, Information Management, Data Science, or a related areas. Work plan
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5 Mar 2025 Job Information Organisation/Company NOVA SCHOOL OF SCIENCE AND TECHNOLOGY | FCT NOVA Department Department of electrical and computer engineering Research Field Engineering » Electrical
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5 Mar 2025 Job Information Organisation/Company NOVA SCHOOL OF SCIENCE AND TECHNOLOGY | FCT NOVA Department Department of electrical and computer engineering Research Field Engineering » Electrical
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- MSc studies in psychology with a focus on socio-technical systems and human-machine interaction All applicants must demonstrate an above-average academic track record, typically with a cumulative grade