The Department of Radiology, University of Wisconsin - Madison, School of Medicine & Public Health is seeking a Scientist who will play a key role in developing and translating next generation radiomics (machine learning in radiology imaging) methods for projects ongoing in Dr. Pallavi Tiwari's lab. The research conducted by Tiwari lab utilizes medical imaging and clinical data to build and optimize AI and machine learning models that identify computerized image-based phenotypes, and their associations with genomics and histopathology for disease characterization, with the aim of developing personalized diagnostic tools towards improved early diagnosis, prognosis, and response to treatment for neurological conditions and other diseases. The Scientist will work on interdisciplinary and translational research in personalized diagnostics towards early diagnosis, prognosis, and response to treatment for brain tumors, neurological disorders, and other diseases (e.g., breast cancer, pancreatic cancer, liver disease). The Scientist will be responsible for identifying clinically translatable research problems relating to these diseases; developing research methodologies and experiments to identify and utilize radiomic, radio-genomic, and radio-pathomic phenotypes to better characterize these diseases (e.g., building a classifier to predict disease progression or the risk of developing advanced cancer); and training students.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree