Mathematical neuro-oncology is an exciting interdisciplinary field incorporating applied mathematics, artificial intelligence, clinical oncology, cancer biology, radiology, pathology and informatics. This field represents a major new way of thinking in the generation of practical clinical tools to benefit people diagnosed with brain tumors. Kristin R. Swanson, Ph.D., and her research team in the Mathematical Neuro-Oncology Lab at Cedars-Sinai are at the forefront of this field developing numerous models of glioma tumors. Dr. Swanson and her team are finding ways to make these models specific for predicting and simulating individualized tumor behavior under different treatment scenarios. Dr. Swanson's research team's current projects focus on growing and harnessing these resources to predict patient-specific tumor growth, find patient-specific markers of tumor progression and identify predictors of response to therapy in individuals. Working independently but in close cooperation with the Principal Investigator, Dr. Kristin Swanson, and other Research Scientists, the Postdoctoral Scientist will perform routine and complex mathematical modeling, machine learning, AI, computational, and statistical procedures to answer a variety of questions focused on direct clinical applications of mathematical modeling.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree