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explore current techniques such as fine-tuning, model alignment, prompt engineering and Retrieval Augmented Generation (RAG) to improve reliability of generated recommendations for two cases of chronic
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traditional and advanced optimization techniques, including analytical models, simulation-based approaches, and data-driven algorithms. The research also considers practical constraints such as cost, process
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Research Fellow - Data Scientist/Clinical Data Engineer Job No.: 690434 Location: 553 St Kilda Road Employment Type: Part-time, fraction (0.5) Duration: 12 month fixed-term appointment Remuneration
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of the development of connections in these biological neural networks and their spontaneous and stimulation-driven formation. These models will provide a framework for simulating and testing biological neural networks
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academics into its Software Systems and Cybersecurity and Data Science & AI Departments. The Department of Data Science & AI is seeking a Teaching & Research academic working in Large Language Models and
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Doctor of Philosophy (PhD) on Phase Transformation in Green Steel Scholarship Opportunities at Faculty of Engineering Job No: 685999 Location: Clayton campus Employment Type: Full-time Graduate
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Research Fellow - Transport Modelling Job No.: 688348 Location: 533 St Kilda Road, Melbourne Employment Type: Full-time (negotiable) Duration: 12 month fixed-term appointment Remuneration:$118,974
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) opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tLLM Generative-AI driven Requirements
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In
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, 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