Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
PhD Scholarship – Modelling the social and political drivers of net zero transitions Job No.: 670767 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment
-
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling Job No.: 683222 Location: Clayton campus Employment Type: Full-time Duration: 3.5 to 4-year fixed
-
') that aims to implement, evaluate, and scale-up novel Diabetes Footcare Hub models of care for people with diabetes foot disease living in regional and remote areas of Queensland. The model of care has
-
), mouse models, fluorescence microscopy (confocal), genomics, epigenetics, cell biology and biochemistry techniques (e.g., RNA/ChIP-seq, mass spectrometry). Successful track record in conducting and driving
-
the power of AI developed in unconventional environments, ensuring its benefits are tailored not only for metropolitan populations but also for the broader society, positioning Australia on the global map
-
and other world leading institutes to carry out pioneering research that benefits society and changes the world around us. Our world-class researchers are driven by a passion and commitment to leaving a
-
of the role of chromatin in development and diseases like cancer. We seek a highly motivated, creative scientist to spearhead a project using stem cell and models to address a fundamental question in chromatin
-
numerical modelling framework to simulate how light and heat interact with the target body tissue, while also incorporating neural signalling dynamics to explore how light-based stimulation affects
-
. This position will focus on one key stream: understanding and improving the interaction between EVs and roadside barriers. This will involve: Modelling EV crash dynamics with conventional and SRB barriers
-
, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity