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Research (C-BER) has extensive experience in biomedical signal processing, particularly physiological signals from wearable devices. This position aims to research and develop methods for processing
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: Programming,Informatics Grant duration: 12 months, starting on 2026-02-16 , with the possibility of being renewed for a maximum term of four years, in the cases of students enrolled in a PhD. Scientific advisor
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on 2026-02-16 , with the possibility of being renewed for a maximum term of four years, in the cases of students enrolled in a PhD. Scientific advisor: Luís Carlos Coelho Workplace: INESC TEC, INESC TEC
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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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SCIENCE Scientific subarea: Informatics Grant duration: 12 months, starting on 2026-02-16 , with the possibility of being renewed for a maximum term of four years, in the cases of students enrolled in a PhD
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and related fields. REQUIRED PROFILE National, foreigner and stateless candidates holding a PhD degree in PhD in Computer Science or a related scientific field and have a scientific and professional
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enrolled in a PhD. Scientific advisor: Bernardo Silva Workplace: INESC TEC, Porto, Portugal Maintenance stipend: 1309.64, according to the table of monthly maintenance stipend for FCT grants (https
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months, starting on 2026-02-16 , with the possibility of being renewed for a maximum term of four years, in the cases of students enrolled in a PhD. Scientific advisor: Diogo Neves Workplace: INESC TEC
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settings and wearable systems. This position aims to research and develop methods for processing physiological signals, including electrocardiograms and other wearable sensors, for subsequent application
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epileptic patients to the analysis of microscope images. This position aims to research and develop biomedical image processing methods for the subsequent application of artificial intelligence methods