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to achieve waveguides with low propagation/coupling losses. The process may also include the machining of glass substrates by three-dimensional micromachining through aqueous chemical etching (FLICE
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neural networks, enabling us to estimate the reliability of a single decision of this algorithm. Regarding generalisation, recent self-supervised learning paradigms have strong synergies with the multi
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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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insurance, supported by INESC TEC. 2. OBJECTIVES: Over the years, large-scale infrastructures have been developed to support high computing performance without worrying about energy consumption. With
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neural networks, enabling us to estimate the reliability of a single decision of this algorithm. Regarding generalisation, recent self-supervised learning paradigms have strong synergies with the multi
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completed Degree;; Holder of a Degree in Biomedical Engineering or related field, with an average grade of 15 or higher; The awarding of the fellowship is dependent on the applicants' enrolment in study
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approved on absolute merit will be qualified for the individual interview. The Final Grade (CF) is obtained by the weighted average of AC (80) and EI (20). DISABILITY INCENTIVE Candidates who present a
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less than 50 points in the AC average will be considered excluded on absolute merit. The top five candidates approved on absolute merit will be qualified for the individual interview. The Final Grade (CF
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approved on absolute merit will be qualified for the individual interview. The Final Grade (CF) is obtained by the weighted average of AC (75) and EI (25). DISABILITY INCENTIVE Candidates who present a
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of the major ambitions is to establish a collaborative laboratory with international reach, capable of offering a range of services to industrial clients in the field of research and innovation