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advanced MR instrumentation in the world, complemented by human resources that provide unique expertise in imaging physics, engineering, and signal processing. No single group of scientists can successfully
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engineers. Responsibilities include but are not limited to Experimental Design and Execution, Computational Modeling, Prototype Development, Data Analysis, and Lab Maintenance. This is a two-year term
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for domestic and international applicants, subject to Monash eligibility and competitive selection. Monash Engineering is a leading global centre for research consistently placing highly in international ranking
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outcomes. Research Data Management and Analysis: Lead the processing, cleaning, integration, validation and analysis of complex clinical and skin imaging datasets, including 2D and 3D medical imaging data
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or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research
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weighing up to 25 pounds; and sitting at a computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular
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workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients, equipment, or materials
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better processes, automation, artificial intelligence, and emerging technologies. Design, prototype, build, test, and implement practical solutions using University-approved platforms and tools, including
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biology / Immunology laboratory experience, such as: Flow cytometry and FACS, immunofluorescence microscopy/imaging, cell culture, tumour cell killing assays, tissue processing, etc. Molecular biology
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Environment / Life Sciences. Research line: Remote sensing and ecology. The successful candidate will carry out research activities including field data collection, processing of large volumes of data, image