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Field
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impact on calcium signaling and cellular processes, including but not limited to neuronal function. You will be involved with teaching and supervising students following the problem based learning (PBL
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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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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design analog and mixed-signal circuits, such as data converters
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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