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Field
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to address real-world challenges. Faculty and students conceptualize, prototype and evaluate products and processes that enhance human potential, well-being and community. Our graduates possess the tools
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facilities (reflectance point and imaging spectroscopy, FTIR, environmental analog chambers, etc.), support for external users of the lab through PRECISE, and science investigations utilizing the lab along
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing
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for such models include high-resolution 3D imaging, time-resolved materials characterization, and atomic structure determination. Scientific instrument data is often multimodal in nature and developing DL models
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researchers and personnel. Successful applicants will be involved in the operation of the world’s most sensitive interferometers, and/or the R&D program for future detector improvements. Examples include
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, biomedical engineering, computer science, neuroscience or similar field Experience acquiring and analyzing magnetic resonance spectra or images Track record of scientific publications Preferred: Experience in
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Materials and Composites Processing Group in the Materials Science and Technology Division, Physical Sciences
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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: -Good communication and computer skills -Ability to multi task and work cooperatively with others -Ability to drive to research stations and ability to stay overnight when needed. Preferred knowledge
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Routine mammalian cell culture, transfection using sterile techniques. Preferred qualifications: • Immunofluorescence microscopy: sample preparation, immunofluorescent microscopy experience, image analysis