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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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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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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
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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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unit in the area of robotic systems Write the scholarship activity report. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Expand knowledge of the state of the art in the specific scientific
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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