304 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Harvard University
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® Office, and related desktop and handheld devices and applications required. Must observe and comply with all standard safety codes and practices, perform work in accordance with recognized trade and
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Number: 15451 School: Harvard Medical School Department/Area: HMS Genetics Position Description: The laboratory of Dr. Yankner at Harvard Medical School is seeking a highly motivated Postdoctoral Fellow to
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. The successful candidate will work with Dr. David Sinclair to develop an independent research project within the scope of the lab's focus on aging, genetics, and epigenetic reprogramming. In addition to carrying
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research and work with the Center Director, Dr. Vish Viswanath , and the team on scientific and programmatic initiatives. The Postdoctoral Research Fellow should have a primary interest that aligns with
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with fundraiser, and updating fundraiser’s detailed prospect list (marked with stage codes, quarter of solicitation, proposal designation, ask amounts, next steps) and their monthly activity reports
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experience in their domain. Applicants should submit a cover letter and CV online at https://academicpositions.harvard.edu/postings/15561 Review of applications will begin December 1 and full consideration
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references to Dr. Rui Duan (rduan@hsph.harvard.edu). Review of applications will begin immediately and continue until the position is filled. Equal Opportunity Employer: We are an equal opportunity employer
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education in the United States. Connections working at Harvard University More Jobs from This Employer https://main.hercjobs.org/jobs/21930943/research-assistant-i Return to Search Results
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Studies on Air Pollution and Health group (https://www.hsph.harvard.edu/nsaph/ ). The position will be under the supervision of Principal Research Scientist, Dr. Danielle Braun, in Biostatistics
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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