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within a Research Infrastructure? No Offer Description Full time, fixed term for 2 years Join a collaborative and supportive network of internationally renowned academics Base Salary $113,400 - $121,054
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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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, 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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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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to expand your research network when liaising with collaborative research partners. Your key responsibilities will be to: contribute and co-lead the research program and milestones of the AEA Project
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unprecedented access to international networks. Professor Lim's research aligns with the National Cultural Policy "Revive" - it provides benefits to the nation by addressing three policy pillars: 1) providing
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network of academic, industry and professional partners and stakeholders skills in qualitative research methods and ability to lead research involving interviews and focus groups experience conducting
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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