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robotic middleware (e.g., ROS, MoveIt) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic
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, machine learning, and data science. The successful candidate will work with Dr. Yohanna Mejia Cruz on the development of sensing and computational frameworks to characterize human mobility and behavior
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cross-spectra, auto-spectra, matched filtering, and related methods. Demonstrated ability to work independently and as part of a group. Knowledge, Skills & Abilities: Knowledge of underwater active
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quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale
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Researcher position. The selected candidate will work on research and development for testing, analysis, and integration of AI and machine learning (ML) algorithms in new simulation and training architectures
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. The University of Nevada, Reno is committed to providing a place of work and learning free of discrimination on the basis of a person’s age (40 or older), disability, whether actual or perceived by others
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, and machine-learning-force fields. The initial appointment is for one year, with the possibility of renewal contingent upon satisfactory performance. For additional information about this position
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machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
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the Principal Investigator (Dr. Shengli Zou). Conduct advanced computational chemistry research with a focus on nanophotonics, quantum mechanics, and machine learning–assisted modeling and simulations. Prepare
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) calculations, microkinetic modeling, and machine learning methods, and in developing machine learning interatomic potentials (MLIPs). Minimum Qualifications: Ph. D. in Physics, Materials Science, Chemistry