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signs of cardiovascular changes, adaptively model physiological patterns, and identify predictive biomarkers of maternal health. You will develop and apply cutting-edge techniques in: Signal processing
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contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process, detect or even
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surgery. This PhD position will focus on the health monitoring system development mainly based on multimodal physiological signals, for instance, inertial measurement unit (IMU), electrocardiography (ECG
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theory to lightweight on-hardware prototypes, with publications targeted at leading IEEE venues in communications and signal processing, and relevant AI venues. Indicative directions (choose one or combine
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or diploma degree in biomedical engineering, computer science, information & computer engineering or similar studies We Offer Interesting area of responsibility Collegial and friendly working atmosphere
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: Hardware and embedded development: miniaturization of a multifunctional sensor (< 15 grams), real-time data transmission (Bluetooth/IoT), energy autonomy. Signal processing and sensor data analysis: analysis
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techniques, or a profile with initial training in biology/microbiology with a minimum of skills in physics and engineering (instrumentation, signal processing), with a strong desire to invest in engineering
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2 Sep 2025 Job Information Organisation/Company Tel Aviv University Department School of Electrical Engineering Research Field Engineering » Control engineering Engineering » Electrical engineering
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research group, which leads pioneering work in multi-sensor navigation, signal processing, and system integrity for aerospace, defence, and autonomous systems. The research will deliver a comprehensive
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or remotely operated robotic systems, preferably in underwater or field robotics. The candidate should have strong competencies in control theory, sensor fusion, and signal processing, and demonstrate