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- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
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- NOVA SCHOOL OF SCIENCE AND TECHNOLOGY | FCT NOVA
- University of Trás-os-Montes and Alto Douro
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Field
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in Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis
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in Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis
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Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is, with a Rule-Based component and a Machine Learning component. The work to be
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within a Research Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is with a Rule-Based component and a Machine Learning
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within a Research Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is, with a Rule-Based component and a 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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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