18 bayesian-inference-tracking Fellowship positions at The University of Queensland in Australia
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), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is
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: Demonstrate a strong track record in supervising Honours and Higher Degree by Research students, providing effective leadership, feedback, coaching, and professional development to support their growth and
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sources. Proven track record leading collaborative industry-academia research projects in carbon management in the mining industry, including carbon accounting, net zero target setting, and carbon offset
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: Lead or co-lead research projects of national impact and take a primary role in at least one annual publication using EarthBank data or capabilities. Demonstrate a track record of effective supervision
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the discipline area including a developing reputation and track record of publications in reputed refereed journals and presentation at conferences Proven ability to work both independently and collaboratively
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or Genomics, and knowledge of Bioinformatic analysis. A growing profile in research in the discipline area. A developing reputation and track record of publications in reputed refereed journals and presenting
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. Strong analytical and writing skills, with a track record of peer-reviewed publications or equivalent outputs. Capacity to engage with diverse stakeholders (e.g. government, industry, Indigenous
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reputation and track record of publications in reputed refereed journals and presenting at conferences. Evidence of successfully seeking, obtaining and managing external research funding. A growing record of
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, tracking project progress, and delivering timely reports to stakeholders and supervisors. Supervision and Researcher Development: Contribute to the effective supervision of Honours and Higher Degree by
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to carry out research in the field of plant breeding, phenotyping, crop modelling, GWAS and genome analysis, particularly in cereals Demonstrated capacity to manage and analyse large data sets. Track record