Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Curtin University
- RMIT University
- Monash University
- University of Adelaide
- Queensland University of Technology
- Swinburne University of Technology
- The University of Newcastle
- University of Southern Queensland
- Murdoch University
- Flinders University
- La Trobe University
- University of Melbourne
- ;
- James Cook University
- 4 more »
- « less
-
Field
-
Kickstart your career with CSIRO’s Industry PhD Advancing circular economy: critical minerals recovery from mineral sands processing and TiO2 pigment residues at Tronox Tronox is a proud leader of
-
conducted. Second, the project will use a task analysis methodology (Sharbanee et al., 2019; Greenberg, 2007) to create a sequential model of the process that couples go through to resolve imbalances in
-
of Emergency Management (EM), Business Continuity Management (BCM) and Critical Incident Management (CIM) across the University with a strong focus on ensuring organisational readiness by supporting a consistent
-
, disability, or age. In keeping with the research project and our experience completing our PhDs, the research team particularly welcomes interest from participants who are collaborative critical thinkers with
-
supervisory team from La Trobe University and Sheffield Hallam University, gaining expertise in data-driven performance analysis, statistical modelling and machine learning. This research will enhance our
-
on testing the sensitivity of an Australian collection of E. necator isolates to a combination of both new and older DMI fungicides. This analysis will allow for the establishment of different sensitivity
-
with causal inference techniques such as causal graphical models, instrumental variable analysis, and counterfactual reasoning to better handle high-dimensional, multi-environment datasets typical in
-
to be critically examined. At the same time, we need to examine the role of corporations, including extractive industry and global retailers, who are the crucial players in global value chains in shaping
-
materials. Expertise in chemical engineering will be required to critically evaluate the membrane applications. Preferable with background in chemical engineering, materials science, chemistry, and
-
that mitigate issues such as local minima in minimizing highly non-convex objective functions. By addressing these critical questions, we aim to enhance the interpretability and robustness of deep learning