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learning models for generating artificial data using generative models. The result will be high-fidelity medical data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge
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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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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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Shell (AAS) development, knowledge of IIOT and OPC-UA digital architectures. Master's degree average higher than 12; Preference factors: Experience in using Spring ecosystems, namely Spring Framework
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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
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experience in programming with R and RStudio.; Knowledge of Data Visualisation and Multivariate Analysis.; Minimum requirements: Enrolled in a Master’s program in the relevant admission area. Knowledge
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category. DUTIES TO BE PERFORMED Coordination and implementation of R&D projects and knowledge enhancement, preparation of R&D project applications, team management and guidance of junior researchers