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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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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
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PhD Scholarship Opportunities in Optoelectronic Semiconductors at the Faculty of Engineering and Faculty of Science (Multiple Positions) Job No.: 682543 Location: Clayton campus Employment Type
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brings together an industry partner, a university and Australia’s leading science agency, CSIRO, to co-develop a four-year industry-focused PhD project. The program supports a three-way partnership aiming
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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PhD Develop transferable professional skills Get access to specialised expertise, equipment and training The CSIRO Industry PhD Scholarship (iPhD) Program is an industry-focused, applied research
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to close contacts. Proposed PhD/MSc Chapters 1) Self-testing for influenza/COVID-19/RSV when symptomatic Data FluTracking Australia 2020-2025 Sample size >100,000 participants with multiple surveys/rows
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to complete a PhD on the multiple and contested practices, norms, and understandings of GenAI among academic users in their research and publishing activities. The scholarship is part of the Generative AI and
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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the project team listed in ‘Our People’ above. It is anticipated that the successful candidate will have enrolled into and commenced the PhD program by June 2022. Prospective applicants can obtain