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should ideally have experience in: Essential Deep learning and machine learning Computer vision Python programming PyTorch or TensorFlow Strong mathematical and analytical skills Desirable Video
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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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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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prestigious Group of Eight, Monash is a powerhouse of research innovation. Its Department of Materials Science and Engineering ranks second nationally, driving breakthroughs in advanced materials, polymer
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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
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investment from the ARC and contributing organisations, CEVAW is poised to make a significant, global impact. This project will be based in CEVAW’s ‘Harnessing technology for the prevention of violence against
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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
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protoplanetary discs* Modelling planetesimal collisions during the planet formation process* Example projects in black hole accretion include: Observational appearance of tidal disruption event flares across
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PhD Opportunity - Indigenous (Energy) Job No.: 685291 Faculty: Faculty of Information Technology, Monash Business School and Faculty of Engineering Location: Caulfield or Clayton campuses Duration
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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