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physical characterization techniques (differential scanning calorimetry, dynamic light scattering, small angle neutron and/or x-ray scattering) to characterize the DIBs; and (3) Develop/implement image
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the delivery of radiological services for adult and pediatric outpatients. The incumbent operates various types of x-ray equipment, Dexa equipment, and auxiliary equipment to provide diagnostic images
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equipment, and ensuring accurate image capture. The technologist must also maintain patient records and adhere to safety protocols. They should be open to traveling to other UC (University of California
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microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a joint project, please describe your specific contributions. Briefly discuss the
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services for adult and pediatric outpatients. The incumbent operates various types of x-ray equipment, Dexa equipment, and auxiliary equipment to provide diagnostic images for diagnostic interpretations by a
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Website https://www.fciencias-id.pt Street Campus da Faculdade de Ciências da Universidade de Lisboa, Edifício C1, Piso 3 Postal Code 1749-016 E-Mail bolsas@fciencias-id.pt STATUS: EXPIRED X (formerly
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California State University, San Bernardino | San Bernardino, California | United States | about 16 hours ago
Code section 67380, and the Higher Education Opportunity Act (HEOA), the Cal State San Bernardino Annual Security and Fire Safety Report is available at: https://www.csusb.edu/clery-act . Advertised:06
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% - CLINICAL Department Overview The UC Davis Department of Radiology performs imaging and therapeutic procedures for patients throughout Northern California. Our radiological services are timely, cost-effective
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that directly relate to this position. Utilizes ionizing radiation to create diagnostic imaging radiographs of designated anatomical areas in accordance with established practices and procedures of all age groups
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for