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PhD Scholarship Develop AI and machine learning models to guide real-time, personalised treatment of paediatric brain cancer using multiomics and clinical data, within the internationally
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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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Application dates Applications close30 June 2026 What you'll receive You'll receive a stipend of $37,010 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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learning, or human-computer interaction would be advantageous. How to apply We are seeking expressions of interest from qualified domestic candidates who wish to apply for this PhD opportunity. This position
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, to undertake your own innovative research in and across the field. As a PhD candidate contributing to the NHMRC-funded SAFEST project, you will also have opportunities to learn from leading clinical researchers
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The successful PhD candidate will undertake research in the following areas: Develop deep learning algorithms for autonomous robotic navigation using dual-view image fusion and shadow-based visual perception
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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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Monash/Bayreuth Double PhD Degree Opportunity - Accelerating organic semiconductor discovery with generative AI, molecular dynamics and DFT Job No.: 698040 Location: Clayton (home) and Bayreuth
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Engineering » Biomaterial engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 25 Sep 2026 - 17:00 (Australia/Adelaide) Country Australia Type of Contract