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Field
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, algorithms, and tools for human-centered intelligent realities, to lead the way for future immersive, user-aware, and smart interactive digital environments. The project is divided into five separate Research
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knowledge of adaptive optics systems, including wavefront sensors, deformable mirrors, and real-time wavefront correction algorithms. Familiarity with optical systems, particularly in high-resolution contexts
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sensor integration Automated control systems and algorithms Cyber-resilient embedded system design Testing methodologies (Hardware in the loop, software in the loop, etc.) System integration methodologies
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upgrade existing imaging and sensing systems Develop new sensing techniques and technologies Calibrate sensors and ensure data integrity for use in machine learning algorithms Support R&D projects
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, and doctoral levels, the Academy's robust portfolio of 11 undergraduate programmes and 12 master's programmes coalesces around three core pillars: AI Core (Applied AI, Algorithms & Data Science
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discipline that directly impacts important technological and societal topics such as thermoelectric energy harvesting and next-generation gas sensors. The project has access to state-of-the-art supercomputing
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sensor monitoring, actuator and motor control, and algorithms for signal processing, detection, classification, tracking, and decision‑making Develop and integrate autonomy‑related capabilities such as
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expertise and interest in machine learning and computer vision algorithms is necessary, with an emphasis on object tracking, optical flow and sensor fusion Knowledge of rock mechanics, soil mechanics and/or
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candidate will develop theoretical/foundational algorithms in remote sensing and/or sensor development (hardware) utilizing a variety of sensors such as fluorescence, hyperspectral and multispectral optical
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to next-generation 2D gas sensors. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with