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(GSAPP), Office of Professional Development and Continuing education (OPDCE), is currently seeking a mental health professional with expertise in a particular content area and the ability to instruct a
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experience in computational and machine learning approaches for use in the quantitative measurement of human learning and its associated behaviors and motivational constructs. A strong applicant will hold Ph.D
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
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equipment safely are essential. A willingness to learn and adapt in a dynamic military facility environment will help ensure ongoing success. Minimum Qualifications: Journeyman level or equivalent
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and collaborative environments. Required Education: PhD from an accredited college or university in Educational Technology, Learning Technologies, Human-Computer Interaction, or a related field
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project “Analytics for Learning with Machines” (ALMA) The position is TV-L E13, 75%, limited to 3 years, funded by the Deutsche Forschungsgemeinschaft (DFG). The project is a Franco-German collaboration
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Computer Science and Artificial Intelligence Deliver foundational and core courses including: Object-Oriented Programming Data Structures Discrete Structures Computer Organization Introduction to Machine Learning
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Previous Job Job Title UMD Stores – Computer Corner Assistant Next Job Apply for Job Job ID 372716 Location Duluth Job Family LR-Clerical Full/Part Time Part-Time Regular/Temporary Regular Job Code
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capable of understanding, learning, and acting in complex, dynamic settings. The lab’s work lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied
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records, aiming to co-create practical tools deployable in real-world clinical settings. This work is central to a multidisciplinary collaboration bringing together experts in machine learning, neuroscience