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the broader framework of Embodied AI. The goal is to integrate physical models with deep learning to create interpretable, data-driven observers that enable physically grounded perception and control for robust
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Intelligence and Machine Learning (AI/ML) Application Type: Tenured/Tenure-track faculty Application Location: Flagstaff, Arizona 86011, United States of America [map ] Appl Deadline: none (posted 2025/11/03
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Hardware: Design and implementation of hardware platforms for artificial intelligence and machine learning, including chip design, VLSI circuits, in-memory processing, integrated system design, computer
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sources) Proficiency in advanced research methodologies, which may include: Neuroimaging (e.g., fMRI, EEG, fNIRS) Computational modeling or machine learning Brain stimulation techniques (e.g., TMS, tDCS
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for assessing the performance of various solutions due to its ease of measurement, the thermal perception of users is paramount in concerns of urban overheating. To quantify thermal comfort, various indices have
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enforcement practices or the ability to learn Ability to calmly and professionally handle situations Ability to accurately read and understand written materials and instructions Basic computer skills
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modeling, machine learning, data mining, and textual analysis Apply principles, methodologies, and tools for data visualization including visual/geo-visual perception and communication, data storytelling
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status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be
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courteous manner Ability to take and follow: directions, deployment plans and action plans Basic computer skills, capable of learning to operate new technology and software Ability work in physically
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researchers within the Neuroscience of Attention Perception Laboratory (NAPL) on non-human primate (NHP) studies investigating neural mechanisms of cognition. The research specialist will work alongside fellow