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Description Join the Next Generation of Cancer Imaging Research We are seeking highly motivated students to join an exciting multidisciplinary program focused on the development of novel molecular contrast
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PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment
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CSIRO IPhD Scholarship - AI-empowered visual recognition system for dairy cow identification, health and behaviour monitoring and detection The CSIRO Industry PhD Program (iPhD) is a four-year
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biology, molecular biology and animal models to investigate how these hybrid cells favour carcinogenesis. Where to apply Website https://app.smartsheet.au/b/form/019eedeef91978fdbc2b67718479eac6?project_id
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new x-ray imaging techniques from the synchrotron to the laboratory Transforming breast cancer imaging with x-ray phase contrast Webpage: https://xrayimagingmonash.wordpress.com/ For further details
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offers an opportunity to contribute to prototype development, experimental aerosol characterisation, bench validation and translational evaluation of an emerging pulmonary drug-delivery platform. Research
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accuracy. By combining global visual information from an ophthalmic microscope with local images acquired by a miniature ophthalmic endoscope, the project will investigate how shadow-based visual cues can be
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Conventional x-ray imaging is firmly established as an invaluable tool in medicine, security, research and manufacturing. However, conventional methods extract only a fraction of the sample
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imaging, based on absorption, provides good image contrast between high- and low-density materials, such as bones and soft tissue. However, it cannot distinguish subtle density differences between soft
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experience in the area of imaging, materials characterisation, physics, engineering, chemistry, mathematics, computer science, advanced manufacturing, or related fields.