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in program within 90 days of hire Must be able to read, speak, and understand English to effectively communicate and understand others Basic math skills and good work organization Ability to learn and
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leading School. In this role, you will: Teach at undergraduate and master’s level, including lectures, seminars, tutorials and computer labs. Act as a personal tutor, providing academic and pastoral support
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interpersonal skills. Proficient with computer systems, along with a working knowledge of Microsoft Office and Google products. Ability to interact effectively with individuals from diverse backgrounds, including
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Great Falls College Montana State University | Great Falls, Montana | United States | about 3 hours ago
the program’s highest terminal degree •Computer literacy, including Microsoft Office software and education specific software The Successful Candidate Will Special Requirements Physical Demands This position has
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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