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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in the topic; - identify and select the appropriate methods for the study in question; - develop
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course and write the grant report.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - expand the state-of-the-art knowledge in the specific scientific area of the grant; - identify and select the
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and scripting.; Minimum requirements: - Solid knowledge of operating systems; - Practical experience with Git and GitHub Actions; - Practical experience with monitoring tools; - Practical experience
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Solid knowledge of programming will be considered an advantage. Minimum requirements: Knowledge
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cycle or non-award courses of Higher Education Institutions. Preference factors: Prior knowledge of psychophysiological variables. Previous work with ECG signals and field data collection using wearable
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to grant holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden the knowledge of the state
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to grant holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - To expand knowledge of the state
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infrastructure. More specifically, this research grant aims to achieve the following objectives:; • Expand scientific and technical knowledge in real-time co-simulation, creating the conditions for a single real
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infrastructure. More specifically, this research grant aims to achieve the following objectives:; • Expand scientific and technical knowledge in real-time simulation, creating the conditions for the remote control