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multi-agent robotic systems, drone swarms, or autonomous decision making. Experience in integrating prediction, planning, decision-making, and control modules within a simulation or experimental framework
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algorithms for cooperative target tracking in complex environments. The role will focus on multi-agent reinforcement learning, decentralized target assignment, occlusion-aware decision-making, and
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decision-making modes. To learn more about UBC’s Centre for Workplace Accessibility, please visit their website https://hr.ubc.ca/health-and-wellbeing/workplace-accessibility/centre-workplace-accessibility
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techniques to enhance robot capabilities, human objective prediction, and decision-making architectures. Developing verification methods, transparent evaluation frameworks, and performance metrics to ensure
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, quantitative characterization, and machine learning-enabled decision-making. The position is associated with the recently awarded ERC Consolidator Grant project “Engineering Multivalency for Superselective
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to enable adaptive memory updates, uncertainty quantification and sequential decision making. The role also involves exploration for emerging research directions, synthesizing technical ideas, and engaging
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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to investigate resilient autonomous space systems for applications related to space sustainability, with particular focus on AI-enhanced fault detection, isolation, and recovery (FDIR), autonomous decision-making
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, ultrasound, and fluoroscopic imaging Counsel patients and obtain informed consent Manage surgical complications and complex clinical decision-making By integrating clinical experience, operative training, and
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and responsible space exploration, with planetary protection at the core of its efforts. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research