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-derived cells (iPSCs, myogenic progenitors), genetic mouse models, and phenotypic drug screening methods. In addition, we are examining severe muscle damage that results in a less efficient regenerative
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, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Additional Qualifications Special Instructions Application
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy
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Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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to the Kavli-Laukien Postdoctoral Fellowship at the Origins of Life Initiative at Harvard University. The Kavli-Laukien Fellowship program supports young developing independent scholars to pursue innovative
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the genetic and genomic basis of plant parasitism, illuminated systematic and biogeographic trends in widespread temperate and tropical clades, and characterized plant phenological and community-level changes
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causal identification methods. There are no teaching requirements for these open positions. Basic Qualifications: A Ph.D. or equivalent degree in computer science, statistics, economics, management science
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shed light on the genetic and genomic basis of plant parasitism, illuminated systematic and biogeographic trends in widespread temperate and tropical clades, and characterized plant phenological and
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Qualifications A Ph.D. or equivalent degree in computer science, statistics, economics, management science, information systems, operations, or other related quantitative and/or social science domains. PLEASE NOTE
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sophistication, including strong statistical skills and comfort with large-scale or complex data. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling