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Field
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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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Recommendation Systems Build LLM-based agent systems for personalized career recommendation that operate over long-term user memory, structured experience representations, and continual information retrieval
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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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Full time, fixed term opportunity for 18 months This position is available immediately with reasonable flexibility on the start date Base Salary Level A, Step 5-8 $109,263 - $121,054 p.a + 17
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compositions of these materials with potential adsorption properties for simulants of toxic agents or catalytic properties of interest for degradation action, a molecular modeling approach based on density
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frameworks using reducing agents under inert conditions • In-depth analysis and characterization of CO₂ chemisorption in modified covalent organic frameworks • Preparation of electrode materials
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online support platforms (e.g., 7Cups), we are developing prototypes that use LLM and conversational agents to deliver scalable, experiential micro-skills training (such as empathy, active listening, and
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of the circulation of infectious agents in populations of marine vertebrates in the Southern Territories. The main models considered are seabirds (albatrosses, penguins, petrels, wrasses) and marine mammals (elephant
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demand, or robotic agents to coupled tasks), where interactions and coordination requirements between entities—such as connecting passengers, pooled service requests, customer time windows, and robotic
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learning and LLM frameworks like LangChain and agent-based LLM frameworks, Retrieval Augmented Generation (RAG). Experience with fine-tuning, deploying, and evaluating Large Language Models. Experience with