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
- The University of Newcastle
- La Trobe University
- Murdoch University
- University of Southern Queensland
- CSIRO
- Nature Careers
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Data61 PhD Scholarships
- James Cook University
- University of Melbourne
- 7 more »
- « less
-
Field
-
of potential options for implementation. This will include prototyping and testing of various implementation options, analysis and documentation of results. Project 2 - Future Power System Modelling: As part of
-
barrier—is disrupted in these conditions, how such dysfunction impairs drug delivery, and whether restoring vascular integrity can improve outcomes. This research is part of an NHMRC-funded Investigator
-
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
-
through a 2023 MRFF Chronic Respiratory Conditions grant that aims to evaluate the effectiveness of a self-management coaching and adherence support health service (RespiCheck) enhanced with available
-
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
-
that are found readily available in the food supply. In animal models, emulsifiers cause inflammation in the gut, similar to that seen in Crohn’s disease. This project aims at investigating if removing emulsifiers
-
to the advancement of healthcare technologies, systems, and services through applied design practice. With a portfolio spanning mobile imaging, wearable technologies, and distributed models of care, DHC leads
-
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