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Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and
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is currently building and commissioning a network of calibrated multi-sensor observatory-class systems, and developing novel machine learning methods with the aim of collecting science-quality data
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the Department of Environmental Health at Harvard University has openings for highly motivated postdocs to develop and apply novel computational approaches for next generation sequencing data analysis
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the direct supervision of a postdoctoral fellow to study breast cancer initiation and progression using a newly developed mouse model of breast cancer together with primary patient samples. You will
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the pseudostratified architecture found in epithelial tissues, and how the architecture is exploited for various functions such as morphogenesis, organ development, and tissue fate. We use diverse model organisms
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. Successful candidates will be expected to contribute to technique development/material synthesis, plan and lead research projects, acquire and analyze experimental data, supervise and mentor undergraduate
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; acquire and analyze relevant data; supervise and mentor undergraduate students; prepare and submit peer-reviewed journal articles; and present their work at professional conferences. They will also be
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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semantics and language change. As part of this research we expect the postdoc will publish in high profile journals and present in conferences and workshops, and prepare grant proposals for continued study of
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Postdoctoral Fellow position. The lab is working to explore the evolution of mammalian lifespan with the goal of better understanding the underpinnings of human aging. There is a strong emphasis on the aging