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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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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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Boston, Massachusetts, Postdoctoral Research Associate About the Opportunity The Postdoc will be working on multidisciplinary research projects in the Bendable Electronics and Sustainable
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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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; demonstrated expertise in deep learning, preferably as applied to audio; and traditional signal processing. PREFERRED : Computational expertise: Experience with Pytorch, use of high-performance computing
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) through the analysis of data from the Vera C. Rubin Observatory. Successful candidates will have access to local computing facilities and will have the opportunity to interact and work with
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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