Sort by
Refine Your Search
-
and interactions. "Phenomenology of flavour anomalies in B physics" "CP violation in top-pair production and decay" "Extended Higgs sectors with coloured particles" "Exploration and Visualisation
-
masters, honours year or a qualification deemed equivalent by the Graduate Research Committee (or delegate) to meet the selection requirements into the doctoral program (see Monash University PhD entry
-
Fellowship at LMU Munich, and a postdoc position at RMIT University. My nanophotonics research seeks to uncover the underlying physics in structured light-matter interactions at nanoscale. We aim to develop
-
determined by the collapsing massive stars? When do binary interactions give rise to luminous red novae? web page For further details or alternative project arrangements, please contact: ilya.mandel@monash.edu
-
Doctoral Program or as part of a Joint Research Award. The Monash Doctoral Program enhances your research project with advanced training that equips you with the knowledge, skills and abilities needed
-
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
-
computers to large-scale multi-dimensional simulations on high-end supercomputers, depending on your interests and inclinations. "Modelling extreme supernova explosions: From fast and faint to bright and
-
I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
-
possess translational symmetry, the role of structure and symmetry in glasses is not established. This research programme involves the development of new x-ray and electron diffraction-based methods
-
analytical imaging methods, then working with collaborators to apply these methods to biomedical research, diagnostic imaging and beyond. Research projects vary from purely theoretical, to computational