138 parallel-computing-numerical-methods "Institute of Computer Science" PhD positions at Monash University
Sort by
Refine Your Search
-
Category
-
Field
-
communities. The proposed methods will be evaluated through realistic urban simulations and digital twins, with the broader aim of enabling efficient, sustainable and adaptive multimodal transport
-
communities. The proposed methods will be evaluated through realistic urban simulations and digital twins, with the broader aim of enabling efficient, sustainable and adaptive multimodal transport
-
clinical indices. 3. Explainable AI (XAI) Integration To eliminate the "black-box" nature of machine learning and ensure clinical trust, state-of-the-art XAI methods are incorporated: SHAP (Shapley
-
clinical indices. 3. Explainable AI (XAI) Integration To eliminate the "black-box" nature of machine learning and ensure clinical trust, state-of-the-art XAI methods are incorporated: SHAP (Shapley
-
includes the School of Clinical Sciences, Hudson Institute of Medical Research, the Victorian Heart Institute, the School of Translational Medicine and School of Public Health and Preventive Medicine
-
the incidence of bugs and errors. New technologies and methods will fuse the ever-increasing capabilities of generative AI with techniques such as light-weight sanity and security scanners, model
-
the incidence of bugs and errors. New technologies and methods will fuse the ever-increasing capabilities of generative AI with techniques such as light-weight sanity and security scanners, model
-
or WAM 70+. **To be eligible you must provide a Confirmation of Aboriginal and/or Torres Strait Islander Heritage certificate or a certified Statutory Declaration form to the William Cooper Institute
-
evaluate novel adaptive decision-making algorithms that guide conservation actions under uncertainty, with the dual goals of maximizing biodiversity outcomes and information gain. The project will
-
evaluate novel adaptive decision-making algorithms that guide conservation actions under uncertainty, with the dual goals of maximizing biodiversity outcomes and information gain. The project will