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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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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
), through IAPMEI - Agência para a Competitividade e Inovação Workplan: The grant will take place in the scope of the project SmartRetail. The goal is the implementation of computer vision and machine learning
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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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to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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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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Analysis and Machine Learning are preferential elements of the CV. I.I - Grant Recipients: Students enrolled in a doctoral degree, in the scientific area of Electrical Engineering, or Computer Engineering
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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