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Job Reference: 1168098 About the Role: You will play a key role in advancing distributed and adaptive AI methods, focusing on scalable software frameworks, learning algorithms, and orchestration
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and multidisciplinary team working to uncover the genetic foundations of yield potential in sorghum. Our research group offers a positive working environment and strong opportunities for cross
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and research across chemistry, biochemistry, molecular biology and genetics, with a strong focus on interdisciplinary, translational impact. Research and teaching span areas including chemical and
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and research across chemistry, biochemistry, molecular biology and genetics, with a strong focus on interdisciplinary, translational impact. Research and teaching span areas including chemical and
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learning and mechanistic modelling, sensor network development, efficient data sorting and processing algorithms, real-time and model predictive control, and transformative applications in the wastewater
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the prediction of molecular crystal structures, their growth and their properties in close collaboration with fellow team members. Developing algorithms for efficient sampling of candidate crystal structures and
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Professor Philip K. Ahring. This project focuses on investigating how genetic variants in voltage-gated sodium channels contribute to epilepsy. The research aims to elucidate the functional impact of
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: electrophysiology, secretion experiments, small animal surgery, in vivo animal work, mouse behavioural analysis, molecular genetics, use or maintenance of transgenic mouse colonies, microscopy, immunohistochemistry
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Early- and mid-career researchers Other initiatives Education Academy school education programs Science videos and articles Immunisation, climate change and genetic modification History of Australian
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brain state, maintain barrier integrity, and contribute to neurological disease, including brain cancer and stroke. The lab integrates advanced imaging, omics approaches, mouse genetics and flow cytometry