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the body during development and how defects in these processes can lead to birth defects and cancer. We use cell biological, genetic, biophysical, computational, and live-imaging approaches to visualize cell
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
. Throughout the Fellowship, individuals will have the opportunity to participate in research using digital pathology, machine learning, deep learning, artificial intelligence, and digital image analysis. Other
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California State University, Long Beach | Long Beach, California | United States | about 15 hours ago
cinematography Demonstrated knowledge of image-acquisition and narrative filmmaking-specific pedagogical approaches Documented experience as cinematographer on a variety of professional work including, but not
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
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Overview The Department of Radiology is a 24-hour, seven day a week operation providing Imaging Services for adult and pediatric inpatients and outpatients. POSITION INFORMATION Salary or Pay Range: $24.79
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Technology , and National Center for Supercomputing Applications . A doctoral degree or equivalent terminal degree in computer science, electrical and computer engineering, or a related field is required
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operation providing Imaging Services for adult and pediatric inpatients and outpatients. Department Specific Job Scope This position may perform duties in the Main Hospital, Ambulatory Care Center, Same Day
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number. Furthermore, upon prior consent, it is possible to use personal data beyond the above-mentioned grounds, e.g. consent for the use of image or other information provided, including processing
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in Film See Department website here: https://www.humboldt.edu/art-film Courses/Areas of Specialization Course areas offered by the department include Art Education, Art History, Art Studio, Digital
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., food processing, bioconversion and fermentation processes) Self-supervised learning for multimodal sensor data (e.g., spectroscopy, hyperspectral imaging, 3D point clouds, and other high-dimensional data