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with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines
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program development and assessment. This position is also responsible for managing the division budget, teaching and learning assessment, and works in concert with VPAA to recommend faculty appointments
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, wiring, relays, frequency drives, motors, breakers, transformers and fuses Will be on the I&E On call schedules as Basic computer skills Must: be able to work in a high-pressure environment and to
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analysis / computer vision, ideally on microscopy or time-lapse data Experience in at least one of: tracking / time-series analysis, probabilistic modelling / uncertainty, real-time or streaming pipelines
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disciplines such as neuroscience/cognitive science, AI and machine learning, robotics, engineering, computer vision, and signal processing. Details of this year’s workshop are at https://sites.google.com/view
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Ability to lead and work in teams Essential Application/Interview Experience and capability in blast computational simulations using codes such as Viper:: Blast, machine learning, and/or LS Dyna Desirable
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to read and interpret blueprints, technical manuals and service manuals needed. Computer literacy with database and word processing knowledge Strong organizational skills Good written and verbal
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similar to Aims students. Ability to teach using methodologies that support a student-centered learning environment. Computer literacy and the ability to use computer technology in classroom/lab instruction
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occasionally, reach with hands and arms, use hands to manipulate a keyboard and mouse, and have good near vision for computer work; often requiring minimal lifting, but may involve bending or reaching