112 distributed-computing-associate-professor Fellowship positions at Harvard University
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Name and contact information for 2-3 references. Contact Information Professor Nicholas Bellono Biological Lab 16 Divinity Avenue Cambridge, MA 02138 Camila Ossa (Administrator) camila_ossa@harvard.edu
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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Fellows: Rubin Lab The Rubin lab in Harvard’s Department of Stem Cell and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and
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an atlas of prokaryotic immune strategy in the global oceans University of Southern California, laboratory of Jed Fuhrman 2018 B. Cael, Ph.D. Testing a distributional theory for the sinking flux of marine
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private sector initiatives aimed at generating positive social and environmental impacts. We offer two fellowships associated with a set of related research projects to be conducted in partnership with
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Vitae Summary of research experience and interests. (1 Page) Name and contact information for 3 references. Contact Information Assistant Professor Marissa Gredler Northwest Lab Building 52 Oxford Street
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Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics
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applicants will be further interviewed by zoom. Contact Information Contact Professor McKinley at kara_mckinley@harvard.edu. Contact Email kara_mckinley@harvard.edu Equal Opportunity Employer We are an equal
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@seas.harvard.edu . Applications will be reviewed on a rolling basis. Basic Qualifications A Ph.D. in Mathematics, Computer Science, or a related field, by the start of the appointment. Additional Qualifications
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/or computational biology. Research will focus on both top-down and bottom-up mapping of local interactions between relatively simple dynamic entities and their emergent complex behavior. We study these