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compatible with high-speed imaging over long durations, (2) optimize system control and develop signal processing tools, and (3) apply it to imaging challenges involving organoids and living biological tissues
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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, optical engineering, biomedical imaging, interferometry, optical microscopy, optical coherence tomography, automation / robotics, - skills in signal processing (highly advantageous), - motivation to conduct
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coupled neuronal and vascular dynamics of the human retina. Scientific Objective The goal of this PhD project is to develop new optical methods and advanced image-processing approaches to simultaneously
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optical signals; Adjusting the optical parameters of the AO-RSO system and contributing to its maintenance; Working closely with clinicians to plan and coordinate experimental sessions; Writing reports
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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-term robustness and minimise false alarms. A good understanding of electromagnetics, RF propagation, signal processing, and machine learning would be beneficial. This project offers a unique opportunity
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electronics, signal processing, system design, experiements and networking. We now consider emerging applications, such as combined fiber optical transmission and sensing, coherent communications, and for
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extending to high-frequency telecommunications beyond 6G. Unlike visible or near-infrared optics in optical telecommunications, very few active optical elements are currently available in this spectral range
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such as Winlight Optics and Airbus, • and the wider European Mars science community. The project offers a rare opportunity to contribute directly to the development of a cutting-edge spaceborne Doppler