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lateral sclerosis) and dementias using cell models. The successful candidate will work closely across the NeuroProteomics and Molecular Therapeutics groups. You will contribute to the development of a
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complex analysis using both local and global datasets. applying nutritional geometry analysis apply advanced bioinformatics modelling techniques publish in peer-reviewed journals and present at conferences
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working in interdisciplinary teams or with industry collaborators. Experience or interest in conducting experiments in mouse models of human disease and analysing high-throughput datasets. The successful
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internationally recognised TRACK-FA dataset, applying computational modelling and neuroimaging analysis to explore brain structure-function relationships and identify imaging biomarkers that could inform future
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profile through laboratory experimentation, advanced microstructural characterisation and thermodynamic and kinetic modelling, and you are motivated to contribute to high quality publications and to
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(Health Economist) will work in partnership with economists, epidemiologists mathematical modellers, and social scientists to evaluate public health interventions targeting infectious diseases. A major
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Academic Level B: Completion of a PhD in the field of Computer Science/Artificial Intelligence. Software engineering expertise, including design and implementation of AI-based models (machine learning, deep
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the Medical Research Future Fund (MRFF) Traumatic Brain Injury (TBI) mission. These projects involve the development of an integrated model of care for adults with moderate-to-severe traumatic brain injury and
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in crop agronomy and farming systems, with emphasis on Queensland’s key cereal and pulse crops – applying advanced methodologies, ag-tech, and crop models to enhance productivity, sustainability, and
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approaches, including animal models of neurodegeneration, in vitro cell culture, pharmaceutical analysis and imaging modalities. This position offers the opportunity to collaborate with national and