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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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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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I work on the study of massive and supermassive stars (10-100,000 solar masses); the first generations of stars in the universe (Pop III stars); evolution of rotating massive stars and the spin of their remnants (including predictions for GW sources); mixing and transport processes in the...
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We have several PhD opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tier
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courses Participation in this program is open to health professionals to pursue a Doctor of Philosophy (PhD) in health and medical sciences. Eligibility criteria The Activity Lead must: have secured
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Application dates Applications close31 March 2026 What you'll receive You'll receive a QUT Postgraduate Research Award (QUTPRA) or Research Training Program (RTP) scholarship of $37,010, full-time
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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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, Australia and New Zealand. PhD in History, University of Newcastle Australia This PhD research will be part of a larger Australian Research Council funded project about polio’s history in Australia between
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computational while other work will involve time spent in the lab. Search for physics beyond the Standard Model in penguin decays in data from the LHCb experiment. Identify particle identification requirements
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3 PhD Scholarships in Australian Archaeology Job No.: 690499 Location: Clayton campus Employment Type: Full-time Duration: 3.5 years fixed-term appointment Remuneration: The successful applicant