69 computer-engineer-"https:" "https:" "https:" "https:" "https:" "CSIC" PhD positions at Monash University
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collaborators have recently been awarded an Incorporating Patient Data in Health Technology Decision Making Grant under the 2025 Preventative and Public Health Research Initiative of the Medical Research Future
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career in exciting, rewarding directions About the project There are several potential PhD projects available for support through the NHMRC-funded Blood Synergy program. Candidates will contribute to a
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health coverage The economics of developing and procuring medicines and health technologies for LMICs Health technology assessment and priority-setting Climate change and environmental health economics
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high-performance computing infrastructure Opportunities to publish in leading AI conferences and journals (CVPR, ICCV, AAAI, NeurIPS, and equivalent) Training in research commercialisation and technology
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. The Opportunity This interdisciplinary PhD project between IT and the social sciences will explore the development of computational approaches for detecting and analysing misogynistic backlash ecosystems across
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computing/ computer science, engineering, social science, science, community development). They will be committed to undertaking research that supports First Nations people and communities in accessing and
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possess translational symmetry, the role of structure and symmetry in glasses is not established. This research programme involves the development of new x-ray and electron diffraction-based methods
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capability. Details of the relevant requirements are available at www.monash.edu/graduate-research/study/apply . A degree in Chemistry, Chemical Engineering, Materials Science Electrochemistry, Physics, or a
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manipulate light–matter interactions in both classical and quantum regimes. Our recent projects also extend into quantum imaging, computational imaging, near‑field optics, and 2D materials, giving students a
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning