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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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modelling, enabling more cost-efficient training algorithms. Program overview The successful candidate will receive: Admission to a PhD program at the University of Adelaide; A four-year scholarship package
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robust software algorithms that enhance plant growth, health and yield. This PhD scholarship is funded by the iLAuNCH Trailblazer, aligned with a current iLAuNCH project in which machine vision is being
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Scholarship in CSIRO Industry PhD Program - Project 1: Resilient & Practical Quantum-Safe Threshold Cryptography Job No.: 678541 Location: Clayton campus Employment type: Full-time Duration: 4-year
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to the effective supervision of Honours and Higher Degree by Research (e.g., PhD, Masters) students (as appropriate). Demonstrate personal effectiveness in supervision and the management of researcher development
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. The tasks of the postdoctoral researcher (innovation) will include: Conduct world-class research in foundational AI, with a focus on applications in the financial sector. Develop innovative algorithms
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Levin Kuhlmann Research area Machine Learning We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance personalisation of services and
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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PhD Scholarship – Natural Interaction Strategies for Long-Term Robot Use for Elderly Care Job No.: 672833 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term