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automation strategies for microbiological research.Use AI (expert support available) to mine results, identify leads and build hypotheses.Collaborate closely with engineers, biologists, and data scientists
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this project, we will use genome mining (bioinformatics) methods to identify previously uncharacterised dehalogenases. AI-based tools will help predict the structure, activity, and substrate scope of these new
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engineering, operational research and energy systems modelling through dedicated courses and/or related work. The following further qualifications will be considered in the assessment: Strong background and
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and implement automation strategies for microbiological research. Use AI (expert support available) to mine results, identify leads and build hypotheses. Collaborate closely with engineers, biologists
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automation strategies for microbiological research.Use AI (expert support available) to mine results, identify leads and build hypotheses.Collaborate closely with engineers, biologists, and data scientists
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Prof Zongping Shao’s research lab, and are also available in WA School of Mines (WASM). The proposed research is strongly aligned with the hydrogen energy technology research at WASM. The success
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to conduct research in a relevant industry in Perth. Student type Future Students Faculties and centres Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines
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Faculties and centres Centre for Aboriginal Studies Faculty of Business and Law Faculty of Health Sciences Faculty of Humanities Faculty of Science & Engineering Science courses Engineering courses Western
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of Humanities Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines (WASM) Course type Higher Degree by Research Citizenship Australian Citizen Australian
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and associated events. Student type Future Students Faculties and centres Faculty of Science & Engineering Engineering courses Western Australian School of Mines (WASM) Course type Higher Degree by