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RibFrac, the RSNA pulmonary embolus CT dataset, or the RSNA abdominal trauma CT dataset, or are otherwise technically proficient with imbalanced cross-sectional imaging data are especially well-suited
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research studies focus on the epidemiologic and genetic variation in cardiometabolic diseases, breast and cervical cancer risk. Our research also includes integration of epidemiologic data, next-generation
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Postdoctoral Fellow in the field of genetic epidemiology. This position offers an exciting opportunity to work with large epidemiological datasets on African populations, contributing to cutting-edge research
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injury, and bleeding pelvic fractures using a very large in-house CT dataset with high-quality labeling and outcome data . 2) Training and validation of state-of-the-art segmentation models
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and resources in malaria, immunology and vaccinology research. This position offers opportunities to address important questions in the malaria, with first access to large novel data sets from various
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on large, multi-omic datasets (metagenomes, metabolomes, immunological data). Such analyses will include training in multi-omic integration as well as genome assembly and comparisons. The successful
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microbiome with first access to large novel data sets from various genomic platforms. We have a strong preference for computational biologists/statistician with a deep appreciation of biological phenomena