50 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Monash University in Australia
Sort by
Refine Your Search
-
Inference Tool (GAMBIT) Community to study theoretical frameworks that extend the standard models of particle physics and cosmology, with the aim of uncovering the nature of dark matter, dark forces, and dark
-
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
-
optics-related research. I have available PhD and Honours projects. If you are interested in our nanophotonics research—a dynamic field in applied physics where you can bring your innovative designs
-
fields and control systems. In addition to this, simulations of electron spins and subsequent data analysis are also an important aspect of our work. "Wide-field quantum microscopy of exotic materials
-
colleauges in the School, in the Monash Centre for Electron Microscopy (MCEM) and abroad, with the goal of extracting the maximum of scientific information. Other projects centre on image simulations that help
-
! Possible projects involve massive stellar binaries, gravitational-wave data analysis, astrostatistics, dynamics in galactic centres and globular clusters, probes of general relativity in the strong-field
-
health economics ; economic behaviour, incentives and preferences in health ; and, economic modelling of health policies and technologies . Employment prospects PhD graduates from the Centre for Health
-
cosmolgy, galaxy evoltion and stellar astrophysics. Students in my group primarily perform numerical simulations of stars, in order to study broad questions related to the origin of the elements in
-
events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models
-
, 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