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and industrial partners. Additionally, the role will involve the weekly organization and quality checking of survey data to ensure all documented IRB protocol procedures are followed and data is
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with other clinical or industrial partners. Additionally, the role will involve the weekly organization and quality checking of survey data to ensure all documented IRB protocol procedures are
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. They will also have the opportunity to work on other problems related to global atmospheric chemistry, air quality, and model development. Basic Qualifications Ph.D. in atmospheric science and
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. Leverage model embeddings in causal inference pipelines for health effects and adaptation policy evaluation. Work with large, high-dimensional datasets (Medicare claims, census, weather, pollution, and
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intersection of machine learning, neuroscience, and computational biology. This role centers on computational neurobiology and the use of modern AI/ML methods to model brain circuits and neural activity. In
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to ambitious research at the intersection of machine learning, neuroscience, and computational biology. This role centers on computational neurobiology and the use of modern AI/ML methods to model
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focused on computational analysis and supporting model development as part of a dynamic, fast-moving experimental program that applies molecular biology to the investigation of brain function and
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, generative models, or a strong interest in exploring them. Basic data preprocessing, feature engineering, and model evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn
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and model adaptive immunity in female reproductive tract cancers. The position is within a team lead by Dr. Don Ingber and Dr. Girija Goyal which is developing model systems and AI tools to help pharma
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and model adaptive immunity in female reproductive tract cancers. The position is within a team lead by Dr. Don Ingber and Dr. Girija Goyal which is developing model systems and AI tools to help pharma