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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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, including with the use of machine learning use this knowledge to design excavation trajectories that reduce energy consumption develop mathematical models of excavation energy losses communicate your findings
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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of recruiting talent aligned to these values. We are looking for a Postdoctoral Research Fellow who has: a PhD (or in near completion) in the relevant fields of Artificial Intelligence, Machine Learning, HCI
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): project Management or Project Studies (with strong computational/AI expertise) systems Engineering or Control Systems (with applications to large-scale projects) artificial Intelligence / Machine Learning
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to: conduct high-quality research in relevant project areas undertake project-wide data and sample analysis, synthesis and curation, and assist CIs with overall project coordination lead the preparation of peer
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Postdoctoral Research Associate - Coral Reef Systems on the Edge, your key responsibilities will be to: conduct high-quality research in relevant project areas undertake project-wide data and sample analysis
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on the detection and analysis of bacterial pathogens in respiratory samples develop novel approaches to analyse metagenomic data in the context of bacterial colonisation and infection produce high-quality research
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, animal models of disease and data analysis strong publication record in peer-reviewed journals demonstrated ability to independently design and execute experiments proven track record of generating high
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disciplines including aerospace, combustion, design, fluid mechanics, materials, mechanical, mechatronic and robotics engineering. To learn more about the School click here . The Clean Combustion Group