Sort by
Refine Your Search
-
, robustness, and trustworthiness of multimodal AI agents. The role will focus on identifying novel attack vectors, developing automated red-teaming frameworks, and designing defense mechanisms to ensure
-
. We are looking for a Research Fellow to advance cutting-edge research in multi-agent systems for large language models (LLMs). The role will focus on conducting innovative research in multi-agent
-
-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
-
-chain operations. Key Responsibilities: Design and implement Hyperledger Fabric and Avalon-based smart contracts with agentic AI integration. Develop dual-hash validation mechanisms to ensure ledger and
-
for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
-
output regulation for uncertain multi-agent systems”. Key Responsibilities: The Research Fellow will work conduct research on the project “Reinforcement learning based event-triggered prescribed-time
-
will be responsible for developing innovative solutions in the encapsulation of active agents such as prebiotics and probiotics in fish feeds for juvenile fish, to help optimize nutrition, immunity
-
. The RF will be responsible for developing innovative solutions in the encapsulation of active agents such as immunostimulants in fish feeds to help optimize nutrition, immunity enhancement and improvement
-
responsible for developing innovative solutions in the encapsulation of active agents such as nutraceuticals, novel immunostimulants etc in fish feeds for broodstocks in order to optimize egg and larval quality