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contingent upon funding. The postdoc will work with closely with Minlan Yu and other group members focused on networking support for machine learning systems, as well as possibly other Harvard faculty
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, genomics, population genetics, molecular biology, quantitative genetics, plant research, field research. All candidates must have received a Ph.D. in a relevant field. The postdoc will be based at the
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-Smithsonian CfA). Successful candidates will have access to our computing facilities and will have the opportunity to interact and work with researchers above in multiple fields, including (but of
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accordance with NIH Ruth L. Kirschstein National Research Service Award levels. More information on Harvard postdoc benefits can be found at: https://postdoc.hms.harvard.edu/. With this appointment, fellows
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collaborate within CAUSALab and beyond the research group Additional Information: Per university guidelines, postdoc appointments are considered to be on-campus, full-time positions. Per university
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disabilities. Working under the direction of the faculty principal investigator, the postdoc will coordinate studies, lead qualitative and mixed-methods analyses, contribute to manuscripts and grant
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recommendations for children with cancer. Towards this goal, the postdoc will work with large genomic datasets derived from thousands of patients. The project provides ample opportunity to advance
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and next-generation sequencing is highly preferred · Experience with single-cell data analysis · Proficient in Linux/Unix-based high-performance computing ( HPC ) environments and job
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, related conference travel, workshops, and computing resources will be available. Further information about the BHI may be found at http://www.bhi.fas.harvard.edu ; information about BHEX may be found at
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applications (experience in R and/or Python, as well as cloud computing) A strong background in statistics and biology Experience managing and curating large datasets Excellent oral and written