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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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mechanical loading of such samples. The focus of the PhD project will be to use machine learning techniques to better understand the interplay between the crystal orientations and deformation patterns in a
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factors involved in the onset and progression of dementia. Advanced computational methods, including bioinformatics pipelines and machine learning, will be employed to uncover putative biomarkers and
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, in‑forest sensor networks, machine learning and AI to generate advanced digital forest data and operational insights for the Australian forestry sector. You will co‑lead a multidisciplinary research
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collection, data wrangling, big data analytics, and the application of artificial intelligence and machine learning techniques. The role is focused on data and analytics related to development applications
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molecule cellular accumulation and compiling a proteome-scale atlas of chemically tractable vulnerabilities. The project will accomplish this by 1) using high-throughput mass-spectrometry and machine
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Range: $81,293 - $109,307 per annum (plus 17% superannuation) We are seeking a Research Fellow with experience in machine learning research and development, particularly with a specialisation in such
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply