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Field
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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imaging and optimization methods, ideally with demonstrated experience in deep learning in medical image analysis (image segmentation/registration/synthesis), medical image reconstruction, computer-aided
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will work on multiple projects funded by NIH/NHGRI. The objective of the position is to develop novel statistical methods and computer software and analyze large scale biological data from biobanks
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or instructional technology field, including media production, teaching with technology, or web distribution. Works with a wide variety of media technologies, networks, and computer hardware and software, applying
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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, immunofluorescence, cellular biochemistry, proteomics, and image-based analysis. There’s also scope to expand into computational biology, high-content imaging analysis, and data-driven modeling, depending on your
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Directorate: School of Engineering and Physical Sciences Grade: Grade 7 (£37,174 - £46,735) Contract Type: Full Time (1FTE), Fixed Term (24 Months) Rewards and Benefits: 33 days annual leave, plus 9
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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: General Notes As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin (UT Austin) has been a global leader in technology
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. The Division runs several clinical practices in multiple sites, conducts basic and clinical research, and educates medical students, residents, clinical fellows and postdoctoral scholars through ACGME as