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experience with data entry and use of databases. High level computer skills, including experience with Microsoft Office suite of products in particular, spreadsheet functions for the collection and reporting
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will be part of two closely related Australian Research Council projects (Discovery and Linkage) that are using natural history collections, environmental DNA and ecological models to reconstruct
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processing particularly for multi-modal (hyperspectral, RGB, LiDAR) and high-dimensional data. Experience in programming languages relevant to technical applications, e.g. Python, Matlab, - R and corresponding
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biology and biochemistry. Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience. A strong work ethic, and the ability to work well independently, and
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with both academic and non-academic stakeholders. Capacity to manage research activities in coordination with Professor Cassey and the wider team of researchers at the Wildlife Crime Research Hub
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
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Understanding of academic journal publishing process Track record of peer review for scientific journals Excellent written and verbal communication skills in English language Ability to work effectively as part
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for multi-modal and high-dimensional data. 3. Experience in programming languages relevant to technical applications (e.g., Python, MATLAB, C) and expertise in image processing libraries. 4. Demonstrated
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and tissue culture. Demonstrated understanding of cell wall biology. Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience. A strong work ethic
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experimental hydrodynamics, naval nuclear propulsion, systems engineering, energy technologies, fluid processes in maritime and nuclear or relevant industry applications. Record of research achievements as