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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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approaches for multi-frequency and multi-constellation observations. This may include signal selection and quality control, low-elevation satellite arc processing, spectral analysis, reflector-height
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PhD Scholarship Non-persistent rock discontinuities, rock bridges, and rock mass stability: numerical modelling and analysis. Water flow in rock discontinuities, discontinuity mismatching, and shear
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, particle image velocimetry and quantitative image-based analysis of aerosol transport. Design, fabrication and bench-top validation of an adaptive soft-mist inhaler research prototype. Low-inspiratory-flow
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, data science, or related - Strong programming skills (Python and/or R) - Experience with machine learning or data analysis - Knowledge of deep learning frameworks Application Procedure Interested
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: · Systematic review and meta-analysis · Evidence synthesis and critical appraisal · GRADE guideline development methodology · Living evidence methods · Clinical epidemiology
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streamlined, institutionalised, and scaled without eroding community ownership or governance efficacy. Through a comparative institutional analysis of RISE interventions and established national community-based
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. The student will gain hands‑on experience with plasma science, reactor design, chemical analysis, and renewable‑energy technologies. It’s an opportunity to contribute to real‑world climate solutions while
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observations of sub-Neptune exoplanets, with a focus on the most promising water world candidates. Develop analysis techniques to disentangle planetary signals from instrumental artefacts and stellar noise
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality