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style • Experience with data integration and processing, analysis, and reporting • Experience in digital pathology, computational pathology, imaging, and image analysis • Excellent written and verbal
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. The responsibilities include assistance with the collection of magnetic resonance imaging (MRI) and functional data, interaction with pediatric and adult patients enrolled in studies, data management and processing
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, maintenance, and secure data management to support biomedical imaging research. The position demands strong organizational skills, technical ability, and effective communication to ensure the training program
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subspecialties, genetics, and advanced imaging modalities. UF Health Shands Hospital – a Joint Commission Level IV maternal care verified facility and a U.S. News & World Report Top 50 Hospital for Obstetrics
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and other elements important for grant submissions. Be familiar and facile with techniques in cell culture, animal surgery, immunofluorescence, flow cytometry, histology, PCR, spectroscopy, RNA
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radiography procedures, including use of equipment and computer imaging programs/hardware, deliver instruction in proper radiation hygiene and infection control. Duties also include, sterilization
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to analyze large-scale clinical datasets, including electronic health records (EHR), medical imaging, and unstructured clinical text. The candidate is required to have a Ph.D. in biomedical informatics
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, Computational Biology, Biomedical Engineering, Data Science, or a related field. Job Description: This Postdoctoral Associate will join the Computational Microscopy Imaging Lab (CMIL), led by Dr. Pinaki Sarder
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performance, alarms, and coordinate service as needed), pH meter, gel imager, and other laboratory equipment. Monitor and maintain stock of general laboratory supplies such as: pipette tips, microcentrifuge
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processes that support the execution of the Alumni Relations Strategic Plan. This includes leveraging data to inform engagement strategies, fostering collaboration across units, and enhancing the visibility