230 data "https:" "https:" "https:" "CMU Portugal Program FCT" Fellowship positions at Harvard University
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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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computational approaches. See our lab web page (https://projects.iq.harvard.edu/gaudetlab ) for more information about our publications and research interests. Basic Qualifications Candidate must hold a PhD in
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information please visit our webpages: http://www.hsph.harvard.edu/farese-walther-lab/ http://cellbio.med.harvard.edu/people/faculty/farese-jr http://cellbio.med.harvard.edu/people/faculty/walther http
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seeking candidates with a PhD in Statistics/Biostatistics for a postdoctoral position. Position involves the development of methodology in the areas of clustered and survival data analyses. The application
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data. The work will incorporate comparative evolutionary biology using extant plants populations and Herbaria collections. The opening is for a postdoctoral fellow with expertise in one or more of the
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activities: (1) ensuring adherence to data security and the responsible conduct of research guidelines; (2) conducting psychosocial and genetic data management, analysis, and interpretation; (3) engaging in
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of application. Candidates should submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from
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papers that best represent the candidate’s writing capability and scientific contributions. Please submit the names and contact information for up to three references. Contact Information Patrick Slade
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The Postdoctoral Fellow will: Collaborate with the PI and interdisciplinary team on conceptual development, data construction, analysis, and writing. Contribute to the design and implementation of quantitative text
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and