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environments. Clean public repositories or released source code from past publications is a strong plus. Algorithmic Breadth: Familiarity with probabilistic machine learning, distributional reinforcement
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will contribute to and lead research in the following areas related to our current and past projects https://gxrlab.rf.gd/research/ : Intelligent Motor Skill Learning: Developing AI-driven, physics
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Link https://www.ubjobs.buffalo.edu/postings/63868 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position
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generation of DeepLabCut and related open-source tools used by labs worldwide. Position 2: Embodied AI Train muscle-actuated, biomechanically realistic agents to perform skilled motor tasks using reinforcement
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Link https://www.ubjobs.buffalo.edu/postings/63869 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position
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construction machinery using the trolleybus network as an energy source. This Postdoc is part of the EU-funded GRID4CITY project, within the Driving Urban Transitions (DUT) Partnerships program call 2025-26
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Postdoctoral Fellow positions as part of the NSF AI Institute for Human-AI Cooperation (NSF HAIC) (https://haicinstitute.org/), a $21.5 million multi-institutional research initiative across the University
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, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly collaborative and international environment. Contact Information: For further information, please contact petros
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(i) strong foundations in digital communications and statistical signal processing with (ii) hands-on implementation using reinforcement learning (including multi-agent RL), large language models (LLMs
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Appointment Term: One year, renewable for up to five years. Appointment Start Date: Flexible, though preferably by August 2026 Group or Departmental Website: https://med.stanford.edu/medphysics.html(link is