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Field
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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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. The successful candidate will work both independently and collaboratively within a multidisciplinary research environment and will contribute to the training and mentoring of graduate and undergraduate students
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multimodal data analysis is preferred; experience with R, machine learning, or advanced statistics is a plus. Training and Research Environment: The successful candidate will receive interdisciplinary training
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/Registration/Certification NA Physical Requirements · Ability to work in a laboratory environment for extended periods (standing, walking, repetitive tasks) · Ability to lift and move up to 25–30 pounds · Fine
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 15 hours ago
for this position should be self-motivated, possess sufficient communication skills, and the ability to work both independently and with others in a collaborative research environment. Additional Required
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 15 hours ago
ability to work both independently and with others in a collaborative research environment. Additional Required Certifications, Licensures, and Certificates Preferred Qualifications Special Instructions
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operates in a team environment, providing access to experts at all levels, including internationally recognized specialists in virology and immunology. The Ohio State University College of Veterinary
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 20 hours ago
exploring how genomic selection approaches can identify plant cultivars with improved performance in space exploration environments. This research focuses on controlled-environment agriculture (CEA
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to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is
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developing and running hydrologic and land model simulations and a working knowledge of high-performance computing environments. Specific responsibilities will involve the use of ATS-EcoSIM, a new version of