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; Minimum requirements: - Programming knowledge in Python/others - Fluent in English 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase
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Security Minimum requirements: Python knowledge; Experience of developing software for data streams. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation
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automation tools. Minimum requirements: - Knowledge of DevOps concepts and CI/CD pipelines; - Practical experience with Git and GitHub Actions. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection
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Education Institutions. Preference factors: Experience in research activities Minimum requirements: Knowledge of Computer Vision and Machine Learning 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS
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energy markets Advanced knowledge (specialization) in power systems 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises
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experience, basic knowledge of dynamic/control systems, undergraduate grade greater than or equal to 13 (scale from 0 to 20). 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and
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requirements: BSc The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Good knowledge of programming
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TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the scientific field of DevOps Cloud Architectures, Infrastructure as Code (IaC) and on-demand, intelligent configuration of self
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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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algorithms to combine information on cardiovascular activity obtained from heart sound signals, electrocardiogram, and photoplethysmography. Investigate the inclusion of prior knowledge about the application