771 data "https:" "https:" "https:" "https:" "University of Aberdeen" positions at Harvard University
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, professional school environment. Applicants should submit a CV, course description and outline, and prior teaching evaluations (if available) to https://academicpositions.harvard.edu/postings/15890 Our
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in the Ponce lab at Harvard Medical School in Boston, Massachusetts. The work of the Ponce lab is focused on how populations of neurons in the primate visual system encode visual information and guide
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. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . Harvard Academic Workers Union
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communication skills. 4. Ability to work independently Additional Qualifications: Contact Information: Joseph Lavin Associate Director of Academic Affairs Department of Chemistry and Chemical Biology Harvard University
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membranes. Please see https://blacklow.hms.harvard.edu/ for additional information on areas of research. We welcome applications from recent PhD graduates who are interested in these or related fields
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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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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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DNA elements and transcriptional and chromatin remodeling machinery in gene regulation. More information about the lab and specific research areas can be found at https://adelman.hms.harvard.edu
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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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: 16067 School: Harvard Medical School Position Description: The Associate will focus on research and curating electronic health records data by mapping row EHR data to common ontologies, performing natural