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.pdf JOB ADVERTISEMENT Recruitment of 1 Doctorate in the field of Research and development of new algorithms for processing and classifying physiological signals in ambulatory systems INESC TEC
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description: Work Area: Research and development of new algorithms for processing and classifying physiological signals in ambulatory systems Project overview: Processing of physiological and inertial signals
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The goal of the research program is to develop machine learning techniques
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The goal of the research program is to develop machine learning techniques
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, and algorithm design for inferring conclusions from multiple sources of information. Uncertainty quantification and propagation is vitally important such autonomous workflows, as is the development
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developing or applying quantum algorithms aligns with one or more of these departments and who can collaborate effectively with our faculty in various quantum domains such as quantum information, quantum
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at prediction and pattern recognition tasks but still fails at very simple planning and decision-making problems. This project will develop predictive and prescriptive analytics algorithms that combine
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-of-the-art algorithms for detecting and classifying safe landing zones using computer vision techniques in order to design and develop custom models for detecting landing zones in real-time based on drone
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals
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segmentation algorithms to segment industrial wrapped objects with limited data Develop algorithms to identify the most reliable segmented objects. Develop algorithms to determine the best grasp pose based