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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
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troubleshooting to ensure real-world readiness. Develop and implement algorithms for autonomous control, SLAM and navigation. Ensure reliable communication between hardware components and the robotic system
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troubleshooting to ensure real-world readiness. Develop and implement algorithms for autonomous control, SLAM and navigation. Ensure reliable communication between hardware components and the robotic system
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-edge computing technologies. Core Responsibilities: Utilize realistic, biologically accurate computer simulations to test the hypothesis that aging-related changes in active zone (AZ) protein density and
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We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis. The successful candidate will investigate new algorithms and models for analyzing
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Theoretic algorithms of defense, and how those can/should be modified to account for human attacker’s biases. To accomplish this goal, we study attacker’s behavior and create cognitive computational models
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well as develop and deliver advanced training. This is an excellent opportunity if you thrive on the opportunity for collaboration with complementary groups across PSC, particularly Computational Biology, User
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of algorithms Ability to design, implement, and execute empirical studies, General fluency in machine learning methodology, Joining the CMU team opens the door to an array of exceptional benefits, available
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records. Responsibilities: Engage in computer vision research using multi-camera systems. Follows research plans in order to collect, record, and manipulate research data. Maintains accurate and detailed
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records. Responsibilities: Engage in computer vision research using multi-camera systems. Follows research plans in order to collect, record, and manipulate research data. Maintains accurate and detailed