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team, your expertise in AI and other cognitive computing methodologies, such as but not limited to machine learning (ML), large language models (LLMs), small language models (SLMs), natural
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(MCIDT), Molecular and Clinical Epidemiology of Infectious Diseases (MAC-EPID), Center for Respiratory Virus Research and Response, and the Center for Global Health Equity (CGHE). The Department has large
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extensive data collection and cutting-edge genomic analysis tools; (2) Development of genomic biomarkers for early diagnosis and risk prediction using genetic and genomic approaches; (3) Functional genomics
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personnel, ensuring adequate training and compliance with proper work practices. Initiates and conducts independent research without direct supervision. Assists with the management of large, multidisciplinary
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Cell Biology (CoE-SCB). The successful candidate will lead the development of cutting-edge cryo-ET data collection strategies, work closely with the sample preparation team, and contribute to the long
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-omics data, using innovative computational approaches supported by validation through molecular and immunological assays. Your tasks and responsibilities: Analyze large cohorts of genomic, epigenomic
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(AI) to analyze large imaging and molecular data in a robust and unbiased way. Worldwide media, including New York Times, Wall Street Journal, and Süddeutsche Zeitung, have highlighted our research. You
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, flow cytometry, genome analysis, iPSC biology, high performance computing, small and large animal neuroimaging, Focused Ion Beam Scanning Electron Microscope (FIB-SEM), data science, as well as resources
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is one of the world’s premier cancer centers, committed to exceptional patient care and leading-edge research. To enable large-scale tumor genomic characterization and facilitate enrollment
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Cloud project. This position will work on a wide array of scientific problems applicable to large-scale pediatric cancer data sharing. Concretely, this role will serve as the domain expert working