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Field
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This fully-funded PhD offers a unique opportunity to drive that change. We are seeking a talented and motivated student to join a multidisciplinary team working at the intersection of biomedical
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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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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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’ recovery progress, timely detect and even predict clinical adverse events like delirium, cardiac arrhythmias and pneumonia. In this project, the University of Twente (Biomedical Signals and Systems group
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of this pathology. Platelet activation is a highly dynamic process underpinned by complex signalling events, culminating in thrombus formation. Our project will map key signalling events that govern platelet and
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peroxiredoxins (PRDXs). Peroxisomes are central hubs in cellular H₂O₂ metabolism, but how peroxisomal H₂O₂ (po-H₂O₂) integrates into redox signaling networks is still unclear. This PhD project aims to uncover how
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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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project planning. Ideal Background: PhD in neuroscience, biomedical engineering, computational neuroscience, or a related field. Experience with brain stimulation, neurophysiology, or neural signal
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School of Biomedical Engineering & Imaging Sciences, King’s College London, with a team of investigators covering AI, computer vision, robotics, and medical imaging. You will join a dynamic and successful
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 11 hours ago
implantable sensors”, with reference COMPETE2030-FEDER-00781000, Operation No. 16631, funded by COMPETE2030 and national funds (FCT) under Call for Applications No. MPr-2023-12. Host Institution: i3S