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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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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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to rapidly learn new techniques and to tackle experimental bottlenecks creatively. Excellent problem-solving abilities and good understanding of basic statistics. The path to Adelaide University We
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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, and we are continuously working to identify and remove biases and barriers to make our workplace open, supportive and safe for everyone. To learn more about the School of Chemistry, click here About you
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wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Enjoy
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, and technical staff. Strong analytical and problem-solving abilities, and capacity to learn new techniques. High levels of emotional intelligence, with a professional, respectful, and self-aware
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for their outstanding commitment to teaching excellence. To learn more about the School of Chemistry, click here About you The University values courage and creativity; openness and engagement; inclusion and diversity
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sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best