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on large-scale consortium datasets and the EHR-linked Vanderbilt Biobank (BioVU). He/she will work in a team environment. He/she will apply existing genetics, statistics, and bioinformatics tools. A primary
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the intersection of programming languages and artificial intelligence (PL+AI), in particular verification and large language models. Our main goal is to create a PL+AI system that is the best at verified program
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Details Title Postdoctoral Fellow, Digital, Data, and Design Institute - Digital Reskilling Lab School Harvard Business School Department/Area Position Description The Digital Reskilling Lab, led by
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Prof. Nada Amin at Harvard SEAS. The postdoctoral fellow should be interested in the intersection of programming languages and artificial intelligence (PL+AI), in particular verification and large
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working at the intersection of econometrics, macroeconometrics, and international economics. Areas of emphasis include: Nowcasting and forecasting using large and diverse data sources Macroeconometric
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, United States of America [map ] Subject Areas: Data Science / Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning , Social Sciences , Biomedical
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Department of Medical Oncology of City of Hope. You will directly work on projects focused on genitourinary cancers, specifically kidney, bladder, and prostate cancers. For more information about Dr. Sumanta
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with the PIs and autonomously, and will be proficient in advanced econometric techniques, leveraging large datasets. The Postdoctoral Fellow reports directly to faculty in the Digital Reskilling Lab and
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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facilities include a low-energy neutron source (LENS) available for neutron detector development and testing, high-bay facilities for large-scale fabrication, professional and student machine shops, a