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insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the specific scientific area of the scholarship - identify and select the appropriate methods for the study in
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similar area The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Knowledge of Python
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operators and energy pilot communities, evaluating performance, usability, and the impact on operators' cognitive load. 4. REQUIRED PROFILE: Admission requirements: Electrical and computer engineering
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languages, including Python, Go, and Rust; - Experience with observability tools.; Minimum requirements: - Solid Knowledge of operating systems, including kernel structures; - Proficiency in the C programming
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requirements: - Solid knowledge of operating systems; - Experience with the POSIX API and system calls; - Hands-on experience with eBPF technology and the libbpf library; - Hands-on experience with SQL. 5
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, Informatics of similar area The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Knowledge
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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
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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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models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning
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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