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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Past experience (or academic training) with energy data analysis and optimization; - Experience
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) videos in the context of diagnosing sleep disorders, particularly REM sleep behavior disorder (RBD). The activities to be performed will include:; 1) Training and validation of machine learning models
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networks; - contribute to co-authored scientific publications within the scope of the work developed; - prepare the research grant activity report. ; 4. REQUIRED PROFILE: Admission requirements: M.Sc. in
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.; • Execution of functional tests for validating the developed system.; • Collaboration in the planning and execution of field test campaigns.; • Writing the activity report for the research grant.; 4. REQUIRED
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of functional tests to validate the system’s performance and compliance.; • Preparation of the technical activity report within the scope of the research grant.; 4. REQUIRED PROFILE: Admission requirements
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developed; - prepare the research grant activity report. ; 4. REQUIRED PROFILE: Admission requirements: B.Sc. in Informatics Engineering or similar The awarding of the fellowship is dependent
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of different RIS configurations in a controlled environment (anechoic chamber).; 5. Preparation of the technical activity report within the scope of the research grant.; 4. REQUIRED PROFILE: Admission
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requirements: The awarding of the grant is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. The awarding of the fellowship is dependent
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algorithms for analyzing electrocardiography, electromyography and movement signals, identifying characteristics and recognizing patterns in everyday activities. Testing and validation of methods developed in
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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