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detectors (GWD), including the LIGO detectors. Current projects include the development of wavefront sensors and actuators for improved laser-beam mode control in GWD, including a new facility for full
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techniques based on 3D sensor perception and deep learning to estimate forest tree structure from high-resolution drone-based LiDAR point clouds and imagery contribute to a world-leading large-scale forest
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Research Associate in Metallomics and Chemical Biology with the primary responsibility of performing metallomics studies including the preparation of responsive fluorescent sensors for application in
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(AIED) and Educational Data Mining (EDM) projects with Professor Kalina Yacef. These projects explore how multimodal data from online platforms and sensor-based environments can be harnessed to enhance
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the primary responsibility of performing metallomics studies including the preparation of responsive fluorescent sensors for application in biological studies. This project is funded by a grant from the Human
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Part time (4 day per week 0.8 FTE), fixed term until April 2027, located on the Camperdown Campus at the School of Psychology Exciting opportunity in the first Clinical Trials Network dedicated
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the opportunity to expand your research skills and experience and to grow in your career as a mentee and a mentor, and to expand your research network when liaising with collaborative research partners. Your key
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, leadership, and collaboration a developing network of academic, industry, and professional partners. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment
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focused on the challenge of accelerating ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track
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ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track record in conducting machine learning research