59 neuroimaging-machine-learning-engineer Postdoctoral positions at The Ohio State University
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—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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engineering and imaging science who is interested in developing expertise in brain imaging and neuroimaging research. This position is intended as a structured, mentored training appointment for a candidate
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. The successful candidate will play a key role in designing and implementing research at the intersection of sensor data collection, machine learning, remote sensing, and real-time agricultural decision-making
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, Neuroscience, Biomedical Engineering, Kinesiology, or a closely related field Required Qualifications: Ph.D. in Psychology, Neuroscience, Biomedical Engineering, Kinesiology, or a closely related field by
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head impact exposure using instrumented mouthguards; collects and analyzes cognitive and neuroimaging data; prepares scientific manuscripts, presents findings, and supports extramural grant applications
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Characterization Department: Engineering | Mechanical and Aerospace Engineering Conducts research and development efforts as a Post Doctoral Scholar in the laboratory led by Professor Kang Xu. The Post Doctoral
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independently and collaboratively in a team-based research environment. Strong organizational skills and ability to manage multiple projects simultaneously. Preferred Qualifications: Experience with neuroimaging
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: Engineering | Electrical and Computer Engineering The Postdoctoral Scholar will conduct cutting-edge research in the areas of wireless networks and machine learning. The scholar is expected to collaborate