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domains. We are also working with many individual collaborators at Harvard and beyond, who bring their computational, data science, and biomedical expertise to our projects. Our work also benefits from
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domains. We are also working with many individual collaborators at Harvard and beyond, who bring their computational, data science, and biomedical expertise to our projects. Our work also benefits from
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relativistic jets. The fellow will work under the supervision of Michael Johnson ( BHEX Principal Investigator) and Peter Galison ( BHEX Science Team Lead). The successful candidates will be embedded within the
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cells, and either flow cytometry or microscopy, or both. The ideal candidate values patience, curiosity, and hypothesis-driven science, and is eager to learn new model systems and/or techniques. High
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Office, EndNote, or similar Additional Qualifications Preferred Qualifications MD, PHhD, Master’s in Data Science Analysis of US claims databases, specific experience with pregnancy studies Artificial
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Office, EndNote, or similar Additional Qualifications Preferred Qualifications MD, PHhD, Master’s in Data Science Analysis of US claims databases, specific experience with pregnancy studies Artificial
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, and clinicians . You’ll gain valuable experience in clinical trial execution, device testing, and data science—skills that are highly relevant for future careers in graduate school, medical school
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within a biological context, and on interfacing with collaborating groups developing AI and machine learning models using this data. The position entails close collaborations with multiple groups