Job Description
The post-doctoral research fellow will execute research projects under the supervision of a principal investigator, with a focus on developing skills to transition the trainee from mentored research to independent research. Research topics include:
• Development and implementation of ontological systems for cancer care,
• Knowledge representation approaches,
• Innovative methodologies to facilitate findability, accessibility, interoperability, and reusability (FAIR) of clinical information from diverse sources (i.e., electronic health records, lab data sources, radiotherapy treatment planning systems),
• Integration of multimodal data (i.e., imaging, genetic, socioeconomic data) to identify high-risk cancer populations or health disparities,
• Development of biomedical and computational methods and approaches (i.e., machine learning/artificial intelligence) to aid in the early diagnosis and management of acute and late cancer therapy-related toxicities,
• Development ...
• Development and implementation of ontological systems for cancer care,
• Knowledge representation approaches,
• Innovative methodologies to facilitate findability, accessibility, interoperability, and reusability (FAIR) of clinical information from diverse sources (i.e., electronic health records, lab data sources, radiotherapy treatment planning systems),
• Integration of multimodal data (i.e., imaging, genetic, socioeconomic data) to identify high-risk cancer populations or health disparities,
• Development of biomedical and computational methods and approaches (i.e., machine learning/artificial intelligence) to aid in the early diagnosis and management of acute and late cancer therapy-related toxicities,
• Development ...