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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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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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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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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
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well as the monitoring of vessels entering the Port of Leixões. REQUIRED PROFILE National, foreigner and stateless candidates holding a PhD degree in PhD in PhD in engineering or related scientific area, and holders of a
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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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and optimize LIBS mapping methods.; - Support the development of signal-analysis software.; - Conduct performance testing and validation in case studies. Academic Qualifications: Master's Degree
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machine-learning methods for sample segmentation and classification. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: The fellow will join the INESC TEC team within the LIBScan project, carrying