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of an AI System. The role involves performing research to create a configurable AI agentic framework that 1) integrates with the full security lifecycle of a system whilst 2) providing innovative
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agentic architecture. With prior experience in AI security and AI agents, including prompt injections, data extraction, jailbreaking, poisoning and adversarial attacks, the candidate brings transferable
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Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Research Fellow. Key Responsibilities: Develop novel algorithms for multi-agent inverse
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for Multi-Agent Decision-Making, https://oceanerc.com ). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making
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ATMRI at NTU a highly motivated Research Fellow to join its dynamic research team working at the forefront of Artificial Intelligence (AI), Multi-Agent Systems (MAS), Collaborative Decision Making
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. Investigate and build robust data and AI agent pipelines for continuous learning and knowledge acquisition, including annotation strategies and knowledge graph development for aquaculture stress events. Design
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a track record in computational modelling that explores the dynamics of AI systems and the development of autonomous AI agents, experience with machine learning, reinforcement learning, and generative
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engagement methodologies for the design of large language model (LLM) agents within digital health interventions. Stakeholders in this context include subject matter experts—such as clinicians, healthcare
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purification of microbial and plant compounds for controlling bee parasites and pathogens; bioassays to evaluate therapeutic properties of microbial and plant-based agents against bee parasites and pathogens
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Language Model (LLM) Strong biostatistics knowledge including survival analysis and causal inference Experience with reinforcement learning, agentic AI systems and autonomous decision-making frameworks Data