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/01 11:59PM (posted 2025/08/21, listed until 2025/12/01) Position Description: Apply Position Description MIT Multi-agent AI Postdoctoral Fellowship Program Recent years have seen a surge of interest
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integration, contributing to CSIE’s mission of advancing autonomous multi-agent systems for national defence applications. Key Responsibilities: Design and develop hardware and software platforms for UAV swarm
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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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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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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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Solution Centre SAS-C. Key Responsibilities: Research and develop AI-assisted methodologies and tools for anomaly and stress pattern detection in aquaculture systems. Focus on multi-modal sensor data
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safety and governance. Familiarity with the ethical implications of AI technologies and their alignment with human values and societal norms. Expertise in large language models, multi-agent reinforcement
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analytics, including EHR, waveform and image-based and multi-modal applications, through consultation and collaboration with faculty, researchers, clinicians, and other team members Communicate clearly and
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. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including trajectory
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challenge due to limited patient data—especially at the single-cell level—making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data