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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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I supervise a wide range of PhD projects on experimental research into the electronic properties of novel quantum materials including topological insulators, graphene, and other atomically thin two
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gases" "Ultrafast dynamics of quantum matter" "Interactions between strongly coupled light-matter quasiparticles" "Atomically thin materials coupled to light" "Periodically driven many-body systems" web
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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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-matter quasiparticles" "Atomically thin materials coupled to light" "Periodically driven many-body systems" web page For further details or alternative project arrangements, please contact: meera.parish
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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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I supervise a broad portfolio of projects in surface and materials physics, with a strong focus on novel electronic materials such as topological insulators, moiré metamaterials, and atomically thin
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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