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Ideal applicants should have a background on biomedical image analysis, computer vision, pattern recognition and/or machine learning. Proficiency in quantitative analytical methods and computer programming (e.g., Python, C/C++) is essential. Experience with medical image analysis (e.g., MRI, CT, X-ray, Ultrasound) or statistical methods and software packages (e.g., ITK C/C++ libraries, R/SPSS) is preferable. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team.
Successful applicants will join a vibrant collaborative research environment and will work closely with clinical investigators. Collaborators include faculty in our Radiology department, the Center for Biomedical Image Computing and Analytics (CBICA), the Abramson Cancer Center (ACC), the Penn Institute for Biomedical Informatics (IBI), and the Center for Clinical Epidemiology and Biostatistics (CCEB).