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which are friendly to privacy-enhancing techniques and on-device ML, including but not limited to model compression, quantisation, distillation, transfer learning, pruning, etc. Research Task II: Apply
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for decarbonising hard-to-abate sectors. Currently the large-scale deployment of hydrogen remains constrained by the limitations of storage technologies, which rely on either high-pressure compression or cryogenic
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experience in the safe handling/storage/disposal of biological and hazardous substances (e.g., chemicals, waste, compressed gases and cryogens) and relevant experience in adhering to and improving WHS
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, and support effective regression testing. Create and maintain traceability matrices to ensure comprehensive test coverage. Collaborate with business and technical stakeholders to interpret requirements
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instruments. Moreover, your excellent laboratory skills will include experience with extraction and purification techniques for a range of organic contaminants in biotic and abiotic matrices and demonstrated
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knowledge and skills with expertise in analysis and quantification of organic chemicals in complex matrices for a wide variety of compounds, particularly environmental contaminants. Expertise in
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that both parameter estimation and model selection can be interpreted as problems of data compression. The principle is simple: if we can compress data, we have learned something about its underlying
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organisational matrices and/or global/group environments. Working knowledge of an ERP system is essential. An excellent track record of defining problems promptly, identifying relevant factors, formulating logical
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is like Ockham's razor, seeking a simple theory that fits the data well. It can also be thought of as file compression - where data has structure, it is more likely to compress, and the greater
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or adapt experimental apparatuses for corrosion testing. proficiency in analytical techniques such as SEM/EDS, XRD, FTIR, TGA, and material testing methods including compressive and flexural strength