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statistics, computing, machine learning (ML), and genetics and genomics, with a focus on large-scale genetic, genomic, and phenotype data. The work will involve both methodological research and collaboration
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strongly encouraged to develop an independent research program. The postdoc is expected to lead and contribute to publications and will have opportunities to take on leadership roles within collaborative
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, meaning-making, and human identity The postdoctoral researcher will be based at Harvard Divinity School and includes regular interaction with scholars in theology, religious studies, computer
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initial or resubmission application. There is no citizenship requirement for K99 applicants. Deadline Month: February, June, & October Description: This program is designed to facilitate a timely transition
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promote the development of a laboratory program that will lead to independent funding. The scholar will be awarded salary, lab costs, and related expenses over two years.
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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-relevant research related to aspects of the Medicare program, including payment policy, risk adjustment, and competition. Experience working with Medicare claims data, a deep understanding of econometrics
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of researchers who have transitioned or are transitioning from training environments in the physical/mathematical/computational sciences or engineering into postdoctoral work in the biological sciences, and who