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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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Status: Closed Applications open: 1/09/2024 Applications close: 30/09/2024 View printable version [.pdf] About this scholarship Description/Applicant information The MRIWA Odwyn Jones PhD
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impact in translational fields, which often aim to use generative AI in a responsible way. This PhD project is part of a larger cohort of projects in the Monash AI Institute, a recently expanded program
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nanotechnology-based approaches to modulate the immune system and create enhanced translational immunotherapy strategies in cancer. To be successful you will need: Completion of PhD (within last 5 years
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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PhD Scholarship - Movement Metrics for Physical Health Job No.: 682825 Location: Clayton Campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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Job no:517174 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Level B (Level A/B) $102,024 to $135,932 per annum plus an employer contribution of 17% superannuation applies. Fixed term, full time position available for 2 years with a possibility of extension. About the...
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I am interested in the most catastrophic and explosive collisions in the Universe, such as the mergers of neutron stars and black holes. I study these using both gravitational waves and electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our...
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Status: Closed Applications open: 18/05/2025 Applications close: 9/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information A PhD scholarship in
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models