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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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scholarships provide tuition fees for a period of four years for PhD candidates and two years for Masters by Research candidates. The cost of Overseas Student Health Cover (OSHC) for the duration of your visa
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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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Sciences. I.I - Grant Recipients: Students enrolled in a PhD in Tourism & Leisure, in the scientific area of Tourism and Leisure or others framed in the Social Sciences. Preference for candidates with
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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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. - Enrollment in a PhD program or a non-degree course. - Oral and written fluency in Portuguese. - With experience in: a) Laboratory work b) Teamwork c) Preparation of technical reports and scientific articles
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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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, Biotechnology, Bioengineering, Genomic Sciences, or equivalent. Candidates with M.Sc. degree in Computer Science, Mathematics or Physics and a genuine interest in learning biology and working on challenging