Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Curtin University
- Monash University
- University of Adelaide
- Queensland University of Technology
- Swinburne University of Technology
- La Trobe University
- Nature Careers
- University of Southern Queensland
- Flinders University
- The University of Newcastle
- ;
- AI & Cyber Futures Institute - Charles Sturt University
- CSIRO
- Crohn’s & Colitis Australia IBD PhD Scholarship
- James Cook University
- Murdoch University
- 6 more »
- « less
-
Field
-
responders are at increased risk of poor mental health outcomes. If we achieve similar findings to the university study, this model will reduce suicidal intentions and behaviours in first responders by 42%. It
-
-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling
-
symptoms. Alexithymia is a major focus of our lab's research, whereby we have created new theoretical models of alexithymia (the attention-appraisal model of alexithymia; Preece et al., 2017), new
-
the diverse range of knowledge and skills of CaLD customers and employees. This project aims to use social identity theory and role theory to develop a comprehensive conceptual model for the process by which
-
-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
-
mechanisms and transformer models. Qualifications Bachelor’s degree with First Class Honours (or equivalent) and/or a research master’s degree in computer science, AI or Computer Vision; or an equivalent
-
, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
-
significant challenges. Your project will aim to solve these coupled chemo-mechanical problems through in situ characterisation and advanced modelling technologies. The expected outcomes will help develop next
-
modelling. This project will not only fill the knowledge gaps in developing high performance SIBs but guide the establishment of sustainable hard carbon manufacture industry.
-
to trick AI-based models, pay little attention to fake-normal data traffic generated by Generative Adversarial Networks (GAN). This PhD research will address a major vulnerability in AI based smart grids by