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(or biomedical PhD with strong computational skills). Fluency in modern AI/ML and emerging paradigms (agents, explainability). Track record of computational solutions to biological problems. Clear communicator
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and Ar-Ar geochronology, fission-track and (U-Th-Sm)/He thermochronology, vitrinite reflectance, and thermal history models. New relational data models data for incorporating methods such as include
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successful you will need: A PhD in geology, geochemistry or a related field. An established track record of publication in isotope geochemistry and/or critical mineral ore systems. Demonstrated expertise in
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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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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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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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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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. The emerging radiation therapy paradigm of sparing healthy sections of the lung is hampered by inability to track changing function over the weeks of treatment. The team is uniquely qualified to deliver this by