Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- RMIT University
- Curtin University
- Monash University
- University of Adelaide
- Swinburne University of Technology
- Queensland University of Technology
- Flinders University
- La Trobe University
- University of Southern Queensland
- The University of Newcastle
- ;
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Institute for Biomedicine and Glycomics / Institute for Drug Discovery
- Murdoch University
- Nature Careers
- 5 more »
- « less
-
Field
-
Using finite element modelling (FEM) to simulate different hole configurations and validating these models with cadaveric femur specimens, this study will provide crucial insights to optimise
-
@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent
-
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
-
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
-
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
-
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 like SWMM are computationally slow and lack scalability, while opaque AI methods risk biased outcomes. This project addresses these gaps by developing a responsible machine-learning framework
-
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
-
frameworks that model the users who are going to interact with them. These models are typically a simplified representation of users (e.g. using the relevance of items delivered to the user as a surrogate for
-
. 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