Sort by
Refine Your Search
-
thermonuclearbursts" (with Prof Alexander Heger) "Weak Helium Flashes in Accreting Neutron Stars" (with Prof Alexander Heger) "Tidal disruption – stars being eaten by black holes"(with Prof Daniel Price) web page
-
ferroelectrics for low-energy electronics" "hot-electron thermoelectricity in graphene for generating power from the cold night sky" "bilayer graphene negative-capacitance transistors" web page For further details
-
for Contemporary Australian Society. The program comprises three interconnected streams: Program 1 identifies how work disability develops through a national cohort study; Program 2 examines participant experiences
-
for an outstanding PhD candidate to undertake an Industry Linked PhD at Monash University in collaboration with Aervision Pty Ltd , an Australian AI company developing advanced video analytics solutions for critical
-
Dr Haoran Ren) Nanophotonic optical biosensors (with Dr Haoran Ren) Marrying photonics with 2D materials at the nanoscale (with Dr Haoran Ren) web page For further details or alternative project
-
the Department of Materials Science and Engineering within the Faculty of Engineering. Project title: Machine Learning for In Situ Materials Characterisation. We are seeking an outstanding PhD candidate to develop
-
field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
-
PhD candidate will be integrated into an established research program funded by the Australian Research Council, with access to a large longitudinal dataset and to funding for qualitative fieldwork
-
behaviour in 2D systems. Low‑energy device prototypes — cleanroom fabrication and cryogenic testing of switching and memory devices. web page For further details or alternative project arrangements, please
-
. The Opportunity This interdisciplinary PhD project between IT and the social sciences will explore the development of computational approaches for detecting and analysing misogynistic backlash ecosystems across