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with electrochemistry and chemical engineering a strong track record of publications, research translation and other impact metrics excellent communication skills with the ability to work dynamically and
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technological capabilities. This initiative aligns with the larger objective of developing a nexus between research and practical applications, furthering SAIL’s contributions to defence and civilian technologies
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complex analysis an excellent track record of publishing high-quality papers in top-tier mathematics journals solid mathematical programming skills. Pre-employment checks Your employment is conditional upon
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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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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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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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, 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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(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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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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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