Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Curtin University
- Monash University
- University of Adelaide
- Queensland University of Technology
- Swinburne University of Technology
- The University of Newcastle
- University of Southern Queensland
- ;
- AI & Cyber Futures Institute - Charles Sturt University
- CSIRO
- James Cook University
- Murdoch University
- The University of Queensland
- University of Melbourne
- 4 more »
- « less
-
Field
-
. Demonstrated experience in electrical generation/distribution/transmission system modelling, planning, optimisation or control. Experience with power systems modelling tools and programming/analysis tools. A
-
two PhD scholarships as part of an Australian Research Council Linkage Project . The project will undertake the first comprehensive analysis of how Australian VAD systems are being implemented and are
-
interaction and human motion analysis Prior knowledge of machine learning/deep learning applied to motion analysis (e.g., relevant courses and research experience) would be an advantage IELTS score of 6.5
-
, the analysis of polaron interactions, and the exploration of exotic quantum phases through spectral signatures. Applicants should possess a strong foundation in theoretical quantum physics, with a focus on
-
• Strong quantitative and programming skills; experience with seismic data analysis or numerical modelling is highly desirable• Excellent written and verbal communication skills• Ability to work
-
personal experience, but typically a 2XE internship is centred on advancing data analysis and developing tools for deploying transformative technologies within the renewable and smart energy sectors
-
Grant and offers excellent training in experimental techniques, data analysis, and translational research. The successful candidate will gain in-depth expertise in both cardiovascular and neurological
-
external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
-
to understand the properties of electromagnetically driven flows in thin deformable electrically conducting liquid films and layers by means of their nonlinear stability analysis and numerical simulation. It
-
financial barriers to achieving theoretically optimal city sizes using qualitative methods, including stakeholder interviews and policy analysis. Integrating Theory into Dynamic Models Embed the sustainable