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of technology-mediated high school science education for blind and low-vision students. The specific aims of the project are to: 1. Investigate the state of in-service teachers’ knowledge about constructing born
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and personalized learning experiences Position Summary : This role is ideal for a highly motivated individual who thrives in dynamic environments and excels at translating vision into action. Working
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options including dental and vision - Health Insurance Generous annual and sick leave, life insurance – Faculty Benefits E. L. Wiegand Fitness Center offers annual or semester memberships and spouse
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of our study programs. There is room for the development of your own research vision and the strengthening of your didactic skills, to build a strong academic CV. Your duties and responsibilities include
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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, or computer programming is a plus Technical skills (e.g., Python, R, Unix) are also highly desired but not required Prior experience managing teams of people and/or an interest in psychological and
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at the intersection of active transportation safety and AI (e.g., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision
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with process-based models, including APEX, SWAT, EPIC, DayCent, or DNDC. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and
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their goals. Our Mission and Vision Our Vision - TTI leads in the creation of knowledge that transforms transportation for the benefit of society. Our Mission - TTI delivers practical, innovative and
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and