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 | 3 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
-
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
-
the Department of Electrical Engineering at IIT Kanpur and innovative unsupervised self-structuring AI and spatio-temporal data modelling techniques from the Research Centre for Data Analytics and Cognition, La
-
PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent