77 software-engineering-model-driven-engineering-phd-position PhD positions at Monash University
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PhD Scholarship in Catalysis Job No.: 694912 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful applicant will receive an ARC
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I am interested in all aspects of theoretical astrophysics, with a particular focus on strong gravitational fields, compact objects, and gravitational-wave astronomy. I am currently exploring the evolution of massive binary stars into compact binaries as sources of gravitational-waves and...
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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PhD Scholarship Opportunity - Developing the Next Generation of Evidence-Based Rheumatology Researchers Job No: 698225 Location: Monash University School of Public Health and Preventative Medicine
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My research explores ways to determine the atomic architecture of materials so we can understand and manipulate a material’s behaviour. At the atomic level, amazing and beautiful quantum phenomena can occur that are very different to the macroscopic world. Our group develops methods to measure...
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of mesons and baryons and their role as indirect probes for physics beyond the standard model. I also follow searches for new physics at the large hadron collider (LHC) and use them to constrain new particles
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with leading researchers in glass science/engineering and diffraction physics/crystallography in Australia and around the world. "Local structure and symmetry in metallic glasses" (with Assoc Prof Scott
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-intelligence-controlled atom-by-atom synthesis of functional nanomaterials Theoretical and numerical modelling of the electronic structure of functional low-dimensional nanomaterials (with Prof Nikhil Medhekar
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in conventional imaging, and to access a complementary ‘dark-field’ signal that originates from tiny sample structures. We do this by designing and implementing novel experimental set-ups and
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, spectroscopy, astrometry) using massive optical telescopes on Earth and in space (e.g., Hubble, Gaia, JWST, Kepler, TESS). My group develops cutting-edge models to extract the most from noisy data and to better