Sort by
Refine Your Search
-
fellow will work with our highly interdisciplinary research group, including scientists with expertise in epidemiology, aging, psychology, environmental health, and gut microbiome. The Fellow will
-
the Nurses Health Study cohorts. · Data/Statistical Analysis. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical
-
the Nurses Health Study cohorts. · Data/Statistical Analysis. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical
-
engagement with key opinion leaders (KOLs) and other stakeholders, and supporting the dissemination of early clinical study results. Fellows can also expect to contribute to strategic medical planning
-
of computational pediatric cancer research. They will develop and support data processing and analysis tools, create new algorithms for focused research questions in bulk and single cell tumor
-
scientific, clinical, and operational input contributing to the clinical development programs at Vertex, working on cross-functional study teams for the design, execution, and monitoring of clinical trials
-
research and study execution. The fellow will develop a deep understanding of the Clinical Science function, in particular through hands-on experience and interfacing with key collaborators in the Clinical
-
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
-
Cambridge, Massachusetts, School: Faculty of Arts and Sciences Position Description: Join us as a postdoctoral fellow in Professor Susan Murphy's Statistical Reinforcement Learning Group. Our
-
biostatisticians on study design, data management and derivation, statistical analysis, interpretation, and scientific communication. The fellow will also have opportunities to contribute to methodological