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at seminars and/or scientific meetings Strong written and oral communication skills Advanced computing skills including in programming in R You will bring your strong research expertise to a multi-disciplinary
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iceberg calving, using statistical constraints from observations and outputs generated by a highly resolved model of the fracture process. The overarching goal is to quantify the mechanical strength of ice
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on the recruitment process. For current UTAS staff, in submitting your application, you acknowledge you have/intend to discuss your interest in this vacancy with your current manager and understand they may need to be
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neuroscience (e.g., Parkinson's disease research clinic, Macquarie University). Neuroimaging Data Analysis: Process and analyse structural and functional neuroimaging data to extract meaningful insights
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demonstrated experience in collaborative processes with demonstrated ability to work independently and as part of a team demonstrated capacity to deliver high-quality project outcomes in a timely manner
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position, available until December 2027. Flexible work arrangements can be negotiated with the right candidate. Be part of the Australian Institute for Machine Learning – the largest computer vision and
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Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects at the Centre for Augmented Reasoning
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) materials synthesis, analyses, and performance test, and mechanistic studies of catalytic processes for advanced oxidation technologies Strong track record in publications in high impact journals as first
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catalytic processes and electrocatalysis Experience performing and interpret electrochemical measurements (LSV, CV, chronoamperometry, etc) using a potentiostat The ability to identify and quantify organic
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to developing nanostructured single atom materials from solid wastes, improving catalyst performances in advanced oxidation processes and materials yield during synthesis, conducting mechanistic studies in device