101 parallel-processing-bioinformatics Fellowship research jobs at Harvard University
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to the development and application of new approaches to safely reverse aging and treat both rare and common diseases, while actively supporting the collaborative and innovative environment of the lab. Salary and
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, Departments, or Schools. The application process will be open to both internal members of the Harvard community as well as external applicants. Applications will be accepted until the position is filled, but
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will be invited for in-person interviews involving a research presentation on past work. References will be requested at final stages of the consideration process. Expected Dates: Application deadline
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sequencing data. The initial appointment period is funded for one year. Basic Qualifications Candidates should have a PhD in computer science, physics, bioinformatics or a related field, and an interest in
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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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to manage the Fellowship recruitment and selection process. Program Development and Implementation Manage all logistics of the fellowship program, including annual fellowship, triannual alumni
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given to recent graduates who have not previously held a postdoctoral position. Applicants with external funding are welcome to apply but must undergo the same review process. Please email the Director of
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. Please direct questions regarding this application process to ethics_fellowships@fas.harvard.edu . Contact Information Yuuka McPherson 124 Mt. Auburn St. 520N Cambridge, MA 02138 Contact Email
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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
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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