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finite element methods, which demand extensive data and are costly, PINNs embed governing physical laws directly into the learning process. This allows effective management of limited and noisy data
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expertise in sedimentary geochemistry. It is expected that the candidate will have experience in collecting elemental geochemical data and interpreting them in terms of sedimentary processes that may include
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recycling: Project 1 (2 PhD students): Cost-Efficient Direct Recycling for Metal Oxide Cathode Materials – These projects focus on developing low-cost, scalable strategies for the direct recycling and
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on sedimentology, geochronology, palynology, isotopes and organic geochemistry. As part of this team, the Research Associate will contribute to fieldwork and sediment analysis, student supervision, and work towards
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data into clinical impact. They will be responsible for developing algorithms for image analysis, creating predictive models for disease progression, and identifying patterns in imaging data
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skillset and experience will be advantageous: First Class Honours or Masters degree in Chemistry or Environmental Science Skills in analytical chemistry, particularly GC-MS analysis of trace volatiles Good
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of Animal and Veterinary Bioscience. This role will contribute to advancing research through the design, conduct, and analysis of in vitro testing and intensive animal trials, as well as the preparation
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, analysis and reports to senior stakeholders, and to effectively facilitate collaboration across project teams. High level of interpersonal, influencing and negotiation skills, with exceptional oral and
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to undertake research in the field(s) of Product Development and Artificial Intelligence, Sustainable Building Practices, and Data Analysis. The nature of the research and development activities for the research
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strategies influence profitability (e.g. gross margin) and sustainability (e.g. GHG emissions). You will lead the analysis and interpretation of data arising from the network of trials that will provide