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. Integrate components such as task decomposition, code synthesis, test generation, and evaluation. Evaluate Agentic Behavior in Code Generation Assess how agentic systems (e.g., those using LLMs with
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PhD in Computer Science, AI, Machine Learning or related field Experience Strong track record of publications in top-tier venues (e.g. CORE A*) Expertise in reinforcement learning, AI agents, and LLM
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models (LLMs) and AI systems for hardware design. This is an exceptional platform to conduct impactful research in high-performance systems, build new networks with world-leading researchers, author high
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, or trustworthy AI agentic AI, multiagent systems, sequential decision making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming
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programming skills (e.g., Python, Ruby, PowerShell). A good working knowledge of Artificial Intelligence (AI) principles. Including LLMs and the use of AI Agents Experience working with GIS systems and
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for a Research Associate/Senior Research Associate. In this role, you will be working on developing LLMs for time-series reasoning. Your research will focus on the project involving LLMs/VLMs for time
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track record of developing and deploying state-of-the-art AI solutions. CHI is a research centre that drives digital health forward and shapes the future of AI in healthcare. https://www.mq.edu.au/__data
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CSIRO Industry (iPhD) Scholarship - Advancing Medical Diagnosis with Multimodal LLM and Agnostic AI Agents This project investigates the use of agnostic AI and multimodal LLMs to improve medical