Sort by
Refine Your Search
-
, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
-
: Department of Chemical & Biological Engineering, Faculty of Engineering Main Supervisor: Professor Sankar Bhattacharya Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: $36,000
-
Doctor of Philosophy (PhD) on Australian Green Ironmaking Scholarship Opportunities at Faculty of Engineering Job No: 685999 Location: Clayton campus Employment Type: Full-time Graduate Research
-
AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 2 months ago
Herbicides PhD Student Scholarships: Integrated Australian Shorn Wool Production Forecasting System Using Digital Twin Technology PhD Student Scholarships: Artificial Intelligence-Powered Climate Resilience
-
experience in one or more of the following areas: machine learning, reinforcement learning, algorithmic trading, or data-driven modelling. Excellent communication skills: Solid written and verbal communication
-
Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute
-
PhD scholarship opportunity: Bias in generative AI-driven decision systems Job No.: 680086 Location: Caulfield campus (with possible collaborations at the Clayton campus as needed) Employment Type
-
underwater communications is necessary. Conventional approaches in underwater communications only develop fixed models based on human knowledge or understanding which cannot fully cover the highly dynamic and
-
of agricultural innovation, exploring how advanced weather forecasting, crop modelling, and digital decision tools can be harnessed to support smarter, more agile on-farm decisions. It offers a unique opportunity
-
fusion, and statistics to support grain growers in making data-driven decisions. With a total co-investment of $56 million from the three strategic partners, this project offers HDR students a unique