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presents an exceptional opportunity for a suitably qualified and motivated individual to engage in applied research at the intersection of artificial intelligence , process monitoring , machine learning
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skills in conducting data linkage analysis such as survival analysis and regression analyses. Experience in working with computer-based data acquisition and analysis systems. Ability to develop
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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
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
here . For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. Application information
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loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You
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the academic promotions process. About You Our ideal candidate will have a passion for and demonstrated ability to solve highly complex problems with a high degree of scientific rigour. The candidate will be
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to people of all backgrounds and identities. For more information about staff equity at ANU, click here . For enquiries about the application process, or if you require reasonable adjustment to apply
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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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biosynthesis and the downstream extraction and purification processes. Key responsibilities will include: Research: Optimise bioreactor conditions and feeding strategies for maximum PHA production and monitor
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opportunities via the academic promotions process. About You This role will involve the use of biotechnological tools to improve feed quality of forage grasses, which will require a general knowledge of plant