408 software-engineering-model-driven-engineering-phd-position positions at Monash University
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) to improve cardiovascular risk assessment and prediction. Research Aim This PhD research aims to develop and evaluate AI and Machine Learning approaches for early prediction, risk stratification and prognostic
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for Artificial Intelligence (AI) and Machine Learning (ML) to support earlier and more personalised healthcare. Research Aim This PhD research aims to develop advanced AI and Machine Learning methods
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computer science, information technology, artificial intelligence, machine learning, software engineering, computer/electrical engineering, or a closely related discipline. This PhD project is part of a
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PhD: Self-Evolving Agents: Continual, Trustworthy, and Resource-Efficient Agentic AI Job No.: 698514 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up
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an important part of a Monash AI institute collaboration between the Arts and IT faculties around technology for orientation and mobility for Blind and Low Vision people. The PhD project will undertake
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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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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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PhD Scholarship - Revitalising Informal Settlements and their Environments (RISE) Job No.: 697973 Faculty: Faculty of Art, Design & Architecture (MADA) Location: Caulfield Campus Duration: 3.5-year
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/scholarships/scholarship-policy-and-procedures . A tuition fee scholarship and Single Overseas Health Cover (OSHC) will be provided for a successful international awardee. The Opportunity This PhD scholarship is
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the optical-to-radio wavelength range, from major surveys and space telescopes (e.g: Gaia, SDSS, JWST, Hubble, Roman, Rubin-LSST). These are analysed using advanced machine learning and data-driven methods. My