Sort by
Refine Your Search
-
, 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
-
apply and develop computational methods to analyze datasets of varying modalities, such as RNA -seq, ATAC -seq, and spatial transcriptomics datasets, and of paired molecular and functional measurements
-
-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
-
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
-
across patient subgroups and institutions. Conducting simulation studies and computational evaluations. Contributing to the development and evaluation of statistical methods motivated by the project
-
experimental studies to big-data modeling and high-throughput computational frameworks. Methods development and integration of AI tools into analytical workflows is also of interest. We welcome and
-
Medical School. As part of this effort, the Rubin lab is implementing new methods of studying aging in vitro using brain organoids and in vivo using mice treated with factors capable of reversing aging
-
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
-
research involves conducting both primary data collection exploring new methods for measuring optimism (or other psychological attributes), as well as secondary data analyses in large scale ongoing cohorts
-
research involves conducting both primary data collection exploring new methods for measuring optimism (or other psychological attributes), as well as secondary data analyses in large scale ongoing cohorts