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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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-circuit-des… Requirements Specific Requirements A master’s degree in electrical engineering, computer Engineering, or a related field. Strong background in analog and mixed-signal circuit design and
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We are seeking a highly motivated PhD candidate to join our research team in the field of mixed-signal IC design, focusing on the implementation of sense to compute paradigm. The ideal candidate
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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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experiments have shown that ECs from different tissue origins have distinct capacities to sense and respond to mechanical signals (e.g., stiffness, shear stress), to initiate angiogenesis, and to form luminal
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master’s degree in electrical engineering, computer Engineering, or a related field. Strong background in mixed-signal circuit design and simulation. Familiarity with IC design tools and tapeout flow and
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engineering. Knowledge of and experience with signal processing is considered valuable, as is hands-on experience with experimental work. You are preferably a driven person, aiming for good research work and
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one month and 30% within one year after hip fracture surgery. It is therefore crucial to monitor patients’ health condition continuously and accurately after surgery to measure and evaluate patients
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to sense and respond to mechanical signals (e.g., stiffness, shear stress), to initiate angiogenesis, and to form luminal vessels. These findings offer clues that can be used to better understand and to
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research projects are part of a larger project on academic writing in the age of AI. Writing is integral to every academic curriculum, training students to process disciplinary content and to report on