27 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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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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, virology, molecular biology or similar field 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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related field. A growing profile in research in health or ageing. A developing reputation and track record of publications in reputed refereed journals and presenting at conferences. A growing record of
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. Knowledge and hands-on experience in experimentation in agricultural/environmental systems. Experience in analytical techniques in soil fertility/chemistry and plant nutrition. Track record of publication
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systems. Demonstrated skills in programming in Python, R and sound abilities in AI and data analytics A developing reputation and track record of publications in reputed refereed journals and presenting
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to impactful, translational research. You will be supported to develop your research track record and establish a nationally recognised profile in this emerging interdisciplinary field. Key responsibilities will
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the steps involved in commercial optimisation of tissue culture technology and how research objectives must align to these steps. An understanding of meristem culture techniques is strongly desired