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discipline knowledge and developments. Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision. Demonstrated track record of publications and
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expertise in Python and ML platforms such as PyTorch, including a track record of effective deployment of these within artificial intelligence or machine learning projects or client problems. Experience in
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engineering, or in a related discipline. 2. Programming experience and expertise in Python and ML platforms such as PyTorch, including a track record of effective deployment of these within artificial
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strong publication record in peer-reviewed journals demonstrated ability to independently design and execute experiments proven track record of generating high-quality, reproducible research data
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engineering, mechanical engineering, materials science or related science or engineering subjects experience with electrochemistry and chemical engineering a strong track record of publications, research
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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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, 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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journals. Disseminating work at national and international conferences. A track-record of interdisciplinary collaboration. Your employment is conditional upon the completion of all role required pre
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or modules a strong track record of modelling, characterising and demonstrating innovative device designs and reflected by publications in high quality journal publications excellent communication skills with
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sedimentology, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track record of publications in leading international scientific journals (Q1