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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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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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level as required. About you a developing network of academic, industry and professional partners and stakeholders doctorate of PhD in a relevant field a developing research profile in vaccine development
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developing network of academic and professional partners and stakeholders possess a PhD degree in a relevant field demonstrated experience in the metatranscriptomic sequencing of soil samples and the
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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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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
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project is an international collaboration involving a wide network of Australian and international researchers investigating fossil reef systems from across the Indo-Pacific, including the recently drilled
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networking technologies (desirable) experience with hyperspectral imaging systems, spectroscopic instrumentation, or multi/hyperspectral data analysis (desirable) knowledge of communication protocols, signal
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-generation sequencing data analysis and cross-disciplinary research high-level skills in communication, leadership, and collaboration a developing network of academic, industry, and professional partners. Pre