Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- RMIT University
- Curtin University
- Monash University
- Queensland University of Technology
- University of Adelaide
- Swinburne University of Technology
- Flinders University
- La Trobe University
- University of Southern Queensland
- Nature Careers
- The University of Newcastle
- CSIRO
- Crohn’s & Colitis Australia IBD PhD Scholarship
- James Cook University
- Murdoch University
- 5 more »
- « less
-
Field
-
publication Strong programming skills and familiarity with machine learning or finite element modelling Not currently receiving another scholarship of equal or higher value Application process Future student
-
In the PhD program, you will be involved in working with a multi-disciplinary team. You will be conducting experiments and developing phenomenological models to understand the graphite formation
-
models at many scales including electron dynamics, soft-matter physics, materials-biomolecules interaction and device physics exploiting the collaboration with a multidisciplinary team of theoreticians and
-
machine learning approaches show issues in model performance and efficiency and vulnerability towards the application of noise over a large number of distributed models. These issues should be overcome by
-
models. TensorFlow or PyTorch is desirable. How to apply To apply, please ensure you have digital copies of the below information: • Curriculum vitae; encompassing any research presentations and/or
-
healthcare organisation, on exploring the convergence of three key mega-trends and the consequential rise of hybrid virtual care models and their application across the APAC region. The three megatrends are (i
-
. 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
-
palliative care models. It comprises a number of sub-projects including a systematic literature review, a synthesis of existing qualitative data, and the design and analysis of a quantitative preference survey
-
PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
are interested in nanoparticles of different materials and compositions to compare to our standard biocompatible and non-inflammatory polystyrene nanoparticles in animal vaccine models, as well as their mechanism
-
applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method