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Field
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for the fundamental understanding and engineering design of safe autonomy for autonomous vehicles. The post-doctoral researcher should have a strong background in autonomous vehicles, optimal control, differential
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semantics and spatial reasoning. AI for Physical Systems – Leveraging machine learning and AI to improve performance, safety, and adaptability of robots, autonomous vehicles, and other intelligent machines
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skills and have experience handling and analysing clinical samples. The ideal candidate would be able to work autonomously as well as part of a team, be proactive, participate in meetings and have
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is English. We are seeking excellent candidates at post-doctoral level to participate in new research endeavours, related to robot learning, manipulation, and AI for autonomous physical systems
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Lab The EMERGE lab at NYU is seeking to hire a postdoc to work on scaling and deploying end-to-end RL planning agents for autonomous vehicles. Based on prior work on creating high performing self-play
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methods and new software. Document all aspects of analyses. Ability to handle multiple projects simultaneously, prioritize heavy workload and function both autonomously and as member of a team. School
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competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all
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the problem of how to build hardware and/or software agents that can autonomously act on our behalf in pursuit of delegated preferences has been studied continually, albeit mostly in the context of classic AI
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agents that can autonomously act on our behalf in pursuit of delegated preferences has been studied continually, albeit mostly in the context of classic AI (symbolic reasoning and planning). Recently the
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synthesizers, liquid chromatography-mass spectroscopy, preparative liquid chromatography, and flash chromatography systems. Preferred background with high-throughput and autonomous experimentation. Preferred