639 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at Harvard University in United States
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of cilia. More information about the lab and specific project areas can be found at https://brown.hms.harvard.edu/research. We welcome applications from recent PhD graduates, particularly those who may
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-determination. In-depth consultation with community leaders, health experts, and other local knowledge carriers—and circulation of lessons learned through routine academic publication and community dissemination
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applicants for a postdoctoral fellow position in the Laboratory of Systems Pharmacology (LSP; https://labsyspharm.org/ ), part of the Harvard Program in Therapeutic Science, at Harvard Medical School in Boston
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Segel lab at Harvard’s Department of Stem Cell and Regenerative Biology (https://hscrb.harvard.edu/labs/segel-lab/ ) explores the biology of aging through the lens of developmental timing and lifespan
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Number: 16047 School: Harvard Divinity School Position Description: Harvard Divinity School seeks an adjunct instructor/lecturer in Classical Arabic to teach an eight-week intensive course on Classical
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invites applications for a postdoctoral position in terrestrial ecosystem dynamics in the laboratory of Professor Paul Moorcroft http://www.oeb.harvard.edu/faculty/moorcroft/ . The successful candidate will
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an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in solving tough problems
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), the Harvard Museum of the Ancient Near East (HMANE), the Collection of Historical Scientific Instruments (CHSI), and the Peabody Museum of Archaeology and Ethnology (PMAE). To learn more about HMSC's mission
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analytics and machine learning. In this role you will produce highly impactful biomedical informatics research that presents new innovations in methods and novel findings that inform disease etiology
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systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning