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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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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
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) modeling, geographic information science, comparative genomics, chronobiology, insect rearing, and/or ecological field work. Special Instructions We require the following application materials: 1. Curriculum
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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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to candidates with prior experience in one or more of the following areas: ecological (population) modeling, geographic information science, comparative genomics, chronobiology, insect rearing, and/or ecological
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Harvard University, Department of Physics Position ID: Harvard-Department of Physics-PD [#31404] Position Title: Position Type: Postdoctoral Position Location: Cambridge, Massachusetts 02138, United States of America [map ] Subject Area: Physics / High Energy Theory Appl Deadline: 2025/12/29...
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well as the access to the Harvard Cannon compute cluster. This is a limited-term appointment funded for one year from date of hire with the possibility of renewal. The nominal starting date will be September 1, 2026
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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