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The Technology for Effective and Efficient Learning (TEEL) Lab at CMU is seeking a postdoctoral fellow who will contribute to educational research projects that collect and analyze data on student
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place emphasis on practical problem solving, interdisciplinary learning, a visionary spirit, and collaboration. The CS Research Department within the School of Computer Science is looking for a Research
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university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a visionary spirit, and collaboration. The CS Research Department within
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. Minimum level of prior work experience required. A background in one or more of the following areas; experimental biomechanics, biomechanical modeling, wearable sensing, deep learning, computer vision
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opportunity for someone who thrives in an interesting and challenging work environment. As part of deep robot learning, you will be responsible for building scalable, adaptable and reliable robots that can
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Details Posted: 11-Mar-24 Location: Pittsburgh, PA Salary: Open Categories: Academic/Faculty Internal Number: 122412 Introduction The Technology for Effective and Efficient Learning (TEEL) Lab
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Position Type Postdoctoral Associate / Fellow (Fixed Term) Full Time/Part time Full time Pay Basis Salary More Information: Please visit “Why Carnegie Mellon ” to learn more about becoming part of
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Postdoctoral Associate / Fellow (Fixed Term) Full Time/Part time Full time Pay Basis More Information: Please visit “Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring
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the collected data. Completing and publishing a deep learning model for high air pollution events in the Mon Valley. Maintain the Pittsburgh ASCENT site in collaboration with PhD students and ACHD. Mentoring of a
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skills in related field to analyze the collected data. Completing and publishing a deep learning model for high air pollution events in the Mon Valley. Maintain the Pittsburgh ASCENT site in collaboration