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HDR supervision. Experience in the analysis of quantitative and qualitative data, lead write up and all stages of research process. Effective oral and written communication skills, including the ability
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publications, conference papers and/or reports. A record of mentoring early career researchers and / or HDR supervision. Experience in the analysis of quantitative and qualitative data, lead write up and all
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/or qualitative data collection and analysis in support of intervention implementation, Demonstrated track record of peer reviewed publications in high quality journals, Demonstrated capacity to present
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
-centered ML, or NLP. Supported by an ARC Future Fellowship and CSIRO-NSF project. Computational Analysis of Online Economies – Led by Prof Lexing Xie and Dr Yun Kuen Cheung, this research explores digital
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Bell School of Asia Pacific Affairs (Bell School) is a world-leading centre for research, education, and policy analysis on international and Asia Pacific politics, security, diplomacy, and strategic
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, nucleic acids or other biomolecules is essential. Proficiency in scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience
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analysis activities. A Research Fellow (Level B) is expected to carry out independent and/or team research within the field in which they are appointed and to carry out activities to develop their research
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sampling missions design of machine learning systems for real-time obstacle detection, terrain analysis, and environmental adaptation in extreme environments implementation of multi-constraint optimisation
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spatial and temporal analysis. Please note: To be eligible for this role you must have no more than 3 years (full-time equivalent) of relevant research experience. A sound understanding of Australian and/or
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for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is desirable. Please