Sort by
Refine Your Search
-
predictive capability for post-TAVR outcomes against traditional metrics. iii) Incorporate the AI-based frailty evaluation into surgical risk scores for a comprehensive risk prediction. iv) Examine the model's
-
modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
-
for ADHD emphasise core symptom clusters comprised of (1) inattention and (2) hyperactivity/impulsivity, various conceptual models of ADHD also highlight a prominent role for deficits in emotion regulation
-
equipped with 8 GPUs. This infrastructure will enable the efficient training and evaluation of complex neural network models, essential for the project's success. The significance of this project for our
-
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
-
of individualisation of training to maximise the adaptive response is as important for team sport athletes as it is for individual sporting pursuits. However, due to the complexity inherent in competition (e.g
-
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
-
available at the Centre for Optimisation and Decision Science at Curtin University. The research will focus on developing robust adaptive techniques for solving complex problems in mathematical physics
-
, causing poor rates of asymmetric redox reactions or poor ability to detect chiral analytes. Chirality is as powerful as it is elusive: we do not have accurate models to explain and predict, especially