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signal processing, with experience in machine learning, deep learning, or AI methods. Familiarity with semantic segmentation, anomaly detection, or pattern recognition techniques is highly valued. Sensor
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for physiological signal recording. An ability to work independently and collaboratively across disciplines will be essential. Excellent communication skills in English, both written and spoken, are required, and
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disease as well. Description of the candidate: The successful candidate is expected to hold: A master degree in biomedical engineering or equivalent. Excellent programming and signal processing skills
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qualifications: M.Sc. degree in electrical engineering, communications engineering, mathematical engineering, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal