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Field
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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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are to assess the impact of cover crops on potato health (including their potential to reduce potato diseases, alter the plant microbiome and host biocontrol agents) and productivity (yield); understand
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external) . Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined
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language processing (NLP), and fine-tuning techniques Familiarity with structured reasoning, chain-of-thought processes, and agent-based systems is beneficial Strong programming skills (preferably Python); experience
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the crisis of multilateralism and debates on organisational culture, principal-agent relationships, and micro-level responses to macro-level ambiguity. Where you will work The mission of the Faculty
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the possibility of yearly renewal subject to funding availability. Responsibilities • Design and implement deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals
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foundation in at least a few of the following areas: high-mobility materials based printed electronics, transient electronics (various sensors, circuits, energy devices etc.), degradable materials, micro
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at the Rowland Institute at Harvard (https://www.rowland.harvard.edu/). Our lab's primary focus is on bacterial-encoded domesticated viruses, known as gene transfer agents, that package random sections of the host
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Campus Address Tucson, AZ USA Position Highlights The selected candidate will conduct research associated with the DoD-funded project "Nonlinear Oscillator Synchronization and Multi-Agent Consensus
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invites applications for 1-3 Post-Doctoral Fellow (PDF) positions in BIM and LLM (Ref. no. 532733). Appointments will commence as soon as possible, with the possibility of renewal based on performance and