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to discipline knowledge develop and refine independent research skills under the supervision of more senior academic staff (with an increasing degree of autonomy) provide informal mentoring and advice
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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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international collaboration involving a wide network of Australian and international researchers investigating fossil reef systems from across the Indo-Pacific, including the recently drilled International Ocean
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to the supervision of undergraduate and postgraduate students. The ARC-funded project is an international collaboration involving a wide network of Australian and international researchers investigating fossil reef
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modelling and simulation of complex systems reinforcement learning or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging
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activities. The Sydney EarthBank node will join the national AuScope Geochemistry Network , an Australian consortium of Earth Science institutes cooperating to develop national geochemistry research