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Research Intern, Computer Vision for Medical Image Diagnostics (Asheville)

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Research Intern, Computer Vision for Medical Image Diagnostics**General information****City:** Palo Alto, Cary**State/Province:** California, North Carolina**Country:** United States**Department:** Student Programs**Date:** Wednesday, January 27, 2021**Working time:** Full-time**Ref#:** 20010270**Job Level:** Individual Contributor**Job Type:** Internship**Job Field:** Student Programs**Description & Requirements**PARC, a Xerox company, is in the Business of Breakthroughs . Practicing open innovation, we provide custom R&D services, technology, expertise, best practices, and intellectual property to Fortune 500 and Global 1000 companies, startups, and government agencies and partners. We create new business options, accelerate time to market, augment internal capabilities, and reduce risk for our clients. Since its inception, PARC has pioneered many technology platforms - from the Ethernet and laser printing to the GUI and ubiquitous computing - and has enabled the creation of many industries. Incorporated as an independent, wholly owned subsidiary of Xerox in 2002, PARC today continues the research that enables breakthroughs for our clients' businessesPARC's Collaborative Visual Computing Area seeks interns to develop cutting-edge computer vision algorithms for medical image analysis. The CVC team leverages state of art deep learning algorithms to solve challenging problems in image classification, 2D/3D object detection and tracking in videos, fine-grain image segmentation, and image/video synthesis. Of particular interest are techniques incorporating unsupervised learning, cross-modal learning, and domain knowledge to train deep neural networks that are robust to sparse, noisy training data. We are seeking interns with a strong analytical background and hands-on implementation skills, as well as a keen interest in developing and applying advanced concepts to exciting real-world problems in healthcare. Interns will work under the mentorship of PARC researchers to turn novel concepts into demonstrable prototypes.Requirements:+ Enrollment in PhD program in Electrical Engineering, Computer Science, or related fields, with specialization in computer vision+ Strong quantitative/mathematical background+ Expertise in deep learning and associated frameworks, e.g. PyTorch, TensorFlow, MXNet+ Hands-on algorithm and software development in one or more of Python, C/C++, MATLAB+ Strong communication skills+ Publication in top tier conference or journalDesired Experience:+ Medical image analysis, including classification, detection, segmentation_The successful candidate must be able to meet the requirements under the International Traffic in Arms Regulations (ITAR) and the Export Administration Regulations (EAR)__Xerox is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity or expression, sex, marital status, sexual orientation, physical or mental disability, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. Learn more at and explore our commitment to diversity and inclusion! People with disabilities who need a reasonable accommodation to apply or compete for employment with Xerox may request such accommodation(s) by sending an e-mail to Be sure to include your name, the job you are interested in, and the accommodation you are seeking.__ 2020 Xerox Corporation. All rights reserved. Xerox and Xerox and Design are trademarks of Xerox Corporation in the United States and/or other countries._
Associated topics: cytometry, drug, drug discovery, histology, industrial hygienist, microbiology, nephrology, pharmacology, therapeutic, trauma
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