Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Monash University
- Curtin University
- Queensland University of Technology
- University of Adelaide
- Swinburne University of Technology
- CSIRO
- The University of Newcastle
- Flinders University
- La Trobe University
- University of Southern Queensland
- Crohn’s & Colitis Australia IBD PhD Scholarship
- James Cook University
- Murdoch University
- Nature Careers
- University of Melbourne
- 5 more »
- « less
-
Field
-
city size framework into dynamic land use–transport interaction (LUTI) models to enable scenario-based forecasting and planning under different infrastructure and policy conditions. Understanding
-
understanding of deep neural networks by exploring the human-understandable meanings of learnt features, the evolutionary dynamics of these features across network layers, and the architectural designs
-
prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
-
North Queensland. Research projects are developed in collaboration between the successful applicant and their supervisor, and potential topics include: deep Earth structures, crustal mineralisation
-
What you'll receive You will receive: a minimum of $30,000 per year, for 3 years a QUT tuition fee sponsorship (for international students). Eligibility You must: fulfil our PhD admission criteria , including English language requirements (an IELTS score of 6.5 or above if English is not your...
-
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
of the Bacterial Cell Envelope – From Molecular Structure to Metabolic Function: The cell envelope is the interface between a bacterial cell and its environment. MACSYS is currently modelling the structure and
-
structure is leading to fundamentally different crash dynamics, particularly in run-off-road collisions with existing roadside barriers. Recent tests show that conventional guardrails often fail to protect
-
. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
-
Acknowledgement of Country CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection
-
qualifications in psychology, human factors, artificial intelligence, human computer interaction, or a discipline that could shed light on individual and team dynamics within the context of command and control