29 bayesian-object-tracking Fellowship positions at The University of Queensland in Australia
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to engage with multidisciplinary teams and external partners. Desirable attributes include experience with spatio-temporal models, machine learning, Bayesian methods, and knowledge of environmental exposure
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: Demonstrate a proven track record of effective HDR supervision and actively facilitate student engagement opportunities, including workshops, collaborations, and professional development initiatives
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track record of effective HDR supervision and actively facilitate student engagement opportunities, including workshops, collaborations, and professional development initiatives. Demonstrate strong
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play a leading role in an AXA Research Fund supported project, focusing on France, Switzerland, and Northern Italy. You will contribute directly to two key objectives: creating the first complete radar
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, utilise best practice research methodologies, and participate in project discussions. Actively participate with industry research partners to progress applied outcomes of fundamental research objectives
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and emerging research profile in biotechnology and biopolymers. You will work with Professor Steven Pratt and other CI’s on delivering against the research objectives of Research Program 1.3
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oncology. An emerging research profile in multi-omics data integration and analysis, with a track record of publications in reputable peer-reviewed journals and presentations at scientific conferences. A
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metagenomics, bioinformatics, and/or marine microbial ecology. Technical expertise in genomics, bioinformatics, metagenomics and/or marine microbial ecology research. A developing track record of publications in
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knowledge of key statistical packages e.g. SPSS, STATA, R, Excel A developing reputation and track record of publications in reputed refereed journals and presenting at conferences. Flexibility and ability
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track record of publications in reputed refereed journals and presenting at conferences. Evidence of successfully seeking, obtaining and managing external research funding. Evidence of a high level of