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Field
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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through proprioception. We develop widely-used open-source tools (e.g., DeepLabCut), train biomechanically realistic embodied agents (e.g., MuscleMimic, Kinesis, Arnold), and build AI-based models
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and assessing weld quality of mechanical parts in real-time by developing machine learning models that use sensor data and other tasks that are assigned to you. Core Responsibilities: Understanding
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pore-scale computational modeling and will develop, test, and deploy pore-scale simulation models for the analysis of flow in porous media in conventional and unconventional formations. These efforts
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 7 hours ago
for project sponsors. Gain knowledge in developing numerical reservoir simulation models for unconventional reservoirs. Advance subsurface characterization skills through the integration of geologic modeling
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or thermal hydraulics; experience in nuclear reactor modeling and simulation and experience with plant dynamics modeling and academic publications. 6/22/2026
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; High-throughput automated workflows for atomistic simulations; Atomistic modeling of the structure of materials; Simulation of molecular diffusion and molecular interactions with surfaces and/or
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equation via the Cole–Hopf transformation and the associated linear problem; • quantum circuit simulation of the dynamics associated with a classical Hamiltonian via the Koopman–von Neumann (KvN
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal