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, and publish high-impact research. Engage with industry and government, contributing to governance and promoting inclusion and diversity. About you PhD qualification in Computer Science, Data Science
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 14 hours ago
agricultural research while building strong professional networks. The Person The successful candidate will hold a PhD (or be within six months of completion) in plant science or a related field, with proven
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-reviewed journal articles. The successful applicant will have two key attributes: Strong track record in Computational Fluid Dynamics and application of numerical modelling methods, and A track record in
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will hold a PhD (or be within six months of completion) in plant science or a related field, with proven experience in independent research on plant science, plant phenotyping, or plant ecophysiology
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searches and reviews in support of the project Work with the project team to develop the project research design and methods Assist with preparation of interview schedules, data collection and analysis
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technologies, systems, prototypes, machines, software and/or processes in the context if of the NQCT facility. Design complex testing procedures and protocols and coordinate to identify problems and solutions
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-elliptic diffusion processes which are induced by geometric flows, with the aim of producing new and robust methods of establishing convergence results for many flow processes. The level of this appointment
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geographically dispersed teams and stakeholders. Research Expertise in both qualitative and quantitative methods, including data management and analysis. Strong Organisational Skills with the ability to work
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and conduct laboratory experiments to optimise geopolymer formulations. Experience with durability testing methods and mechanical property evaluation of cementitious materials. The selected candidate
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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software