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Field
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materials and incorporation of sensors in design. The candidate is expected to work on research projects related to the topic funded by the National Research Foundation of Singapore (NRF) and Land Transport
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, feeding behavior monitoring, and associated visual analytics. Investigate and integrate physiological and behavioral data from diverse IoT environmental sensors for multi-modal stress detection together
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aims to define the optimal specifications for spaceborne hyperspectral sensors to detect diseases in Australia’s key wheat and barley crops. The successful candidate will lead the development and
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). Applying advanced statistical and machine learning methods (e.g., predictive modelling, clustering, multivariate integration) to large-scale time series and sensor datasets. Contributing to the development
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reinforcement learning using degraded human feedbacks. Develop distributed localization approaches for multi-agent systems. Investigate the suitability of various sensors for robot navigation in human-sense
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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for a Research Fellow to develop advanced wet-spinning processes for conductive polymers, enabling next-generation fabric-based sensors and thermoregulation systems. The role will focus on the design and
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will play a key role in developing and producing advanced optoelectronic devices for applications such as quantum technologies, integrated optical sensors, and laser optics. In this EPSRC-funded project
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up experiments with controlled robotic arm and various sensors for understanding the underlying principles on phantom models. You will be a leading researcher in Dr Sharib Ali’s AI in Medicine and
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will play a key role in developing and producing advanced optoelectronic devices for applications such as quantum technologies, integrated optical sensors, and laser optics. In this EPSRC-funded project