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understanding, diagnosing and treating diseases caused by A. fumigatus and other fungal pathogens. The PhD student will conduct basic and translational research in a collaborative research environment at the St
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Energy and Environment, and Digital Healthcare. A key objective of Rinn Semiconductors is to foster collaboration across the seven partner universities and institutions, leveraging the semiconductor
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of compensating for nonlinear PA characteristics under dynamic operating conditions. Advanced machine learning and neural network approaches will be explored to improve linearization performance while reducing
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, healthcare facilities, and collaborative robotics. The successful candidate will gain expertise in UWB systems, robotics, Artificial Intelligence, Industrial IoT, sensor fusion, and autonomous navigation
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catalysts used in chemical processes. The successful candidate will combine state-of-the-art quantum chemical modelling alongside machine learning techniques and contribute to the development of predictive
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(IIoT) sensors, real-time data analytics, machine learning algorithms, and Digital Twin technologies to monitor equipment health, predict failures before they occur, and recommend optimal maintenance
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National Institute, other local collaborators or attendance at relevant regional and national promotional events may be required. Project Background - INTEGRAL: INTEGRAL (Integrated Photonics for Signal
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econometric and machine learning frameworks to analyse the causal relationships between transport behaviour, residential energy consumption, and environmental outcomes in urban systems. The successful candidate