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Science, Operations Research, or Economics Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions Clear communicators in a fast-paced and highly collaborative
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for PhDs graduating by Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics Analytical problem
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modeling, optimization, and/or data analytics. Description of the PhD topic (subproject C1 - New metrics for transportation system appraisal): Transportation systems must deliver “function” (i.e
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University at the forefront of medical research in frailty assessment and predictive analytics. This project not only has the potential to improve the quality of life for patients undergoing TAVR and other
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analytical instrumentation. This project is an industrial collaboration with Cadoux who aim to commercialise the process under development by the HSRG. The student will join a sizeable group of researchers (7
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Analytics, within the School of Population Health. The project also incorporates external partnerships with the North Metropolitan Health Service and staff directing the BCSP in WA. This collaborative network
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of local languages, culture, agricultural practices and landscapes of Senegal or in West Africa is an advantage. A driving license. Willingness to learn new analytical and scientific skills. Willingness
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from conventional materials (e.g., traditional metals), two-dimensional materials, and their combinations. The project will employ a broad spectrum of analytical, semi-analytical, and numerical
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chemical evolution in the magma reservoir. The geochemical composition, isotopic tracers and the physical properties of the magmas are examined analytically and experimentally. They make it possible
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of biopharmaceutical process development; process analytical technologies (PAT) and common analytical methods for biopharmaceuticals will be an advantage; Very good communication skills in English both written and