65 parallel-and-distributed-computing "https:" PhD positions at Monash University in Australia
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Academic transcript Applications Close: Sunday 1 March 2026, 11:55pm AEDT Minimum entry requirements: https://www.monash.edu/admissions/entry-requirements/minimum Research webpages: https://www.monash.edu
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formed? Why does the velocity distribution of hypervelocity stars ejected from the Galactic centre not match expectations? How are the birth masses and natal kicks of neutron stars and black holes
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Metallurgy and Corrosion cluster, working within a multidisciplinary team spanning theory, advanced characterisation, and computational modelling. This environment provides an excellent platform for developing
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between theoretical and computational high-energy physics. The research contributes to the world-leading PYTHIA Monte Carlo Event Generator, which serves as the baseline for the majority of experimental
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spectroscopy and Gaia data of star clusters to decipher the mystery of the Lithium-rich giant stars" (with Prof John Lattanzio) "The origin of the heavy elements: Computer simulations of neutron-capture
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will receive a Research Living Allowance, at current value of $37,145AUD per annum 2026 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: https
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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discipline) Science or applied science Mathematics or data science Computer science Environmental or sustainability studies Design, manufacturing, or technology fields Applicants should demonstrate: A strong
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Metallurgy and Corrosion cluster, working within a multidisciplinary team spanning theory, advanced characterisation, and computational modelling. This environment provides an excellent platform for developing
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control