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filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
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abundancy). Protein identification methods are not easily translated into a point-of-care (POC) testing given the laborious, time-consuming and sophisticated nature of currently available techniques. A POC
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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bladder plays a vital role in storing and releasing urine, governed by complex neural circuits. As the bladder fills, sensory signals originating from its wall inform the central nervous system about
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, governed by complex neural circuits. As the bladder fills, sensory signals originating from its wall inform the central nervous system about bladder fullness. Disruption of these signaling pathways can
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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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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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& Applications. The SPARC group in SnT is pursuing research on signal processing applications in radar and communication systems in partnership with national and international academic and industrial collaborators
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machines by interpreting brain activity (e.g., EEG signals) in real time using energy-efficient neuromorphic hardware. You will work on the design and hardware realization of Spiking Neural Networks (SNNs
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, cardiac arrhythmias and pneumonia. In this project, the University of Twente (Biomedical Signals and Systems group; BSS) in collaboration with the top clinical hospital Ziekenhuisgroep Twente aims