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Field
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Details Title Postdoctoral Fellow at Harvard in RL with Applications in Digital Interventions! School Faculty of Arts and Sciences Department/Area Statistics Position Description Join us as a
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history of scientific discovery and innovation, as well as mentoring, training, and education. It consistently ranks among the top 10 in the nation in funding from the National Institutes of Health (NIH
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focused on improving the health outcomes of childhood and adult-onset cancer patients. He is a Leukemia & Lymphoma Society Research Scholar and has been the recipient of several National Institutes
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Specifically, the fellow will plan, design and execute experiments of considerable scope and complexity in the assigned research lab; collect and analyze data for research sponsored by the National Institutes
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 16 hours ago
flexibility. Location is flexible, with the possibility of a remote position. The current stipend for first year fellows is commensurate with the standard National Institutes of Health rate and includes
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regulatory agencies and assist with statistical analysis to support Quality databases for the Cardiac and Thoracic Surgery Divisions. In this role you will work with Director and Surgeons on many registries
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National Institutes of Health-funded CRITmetic Project, which is a multi-year project that includes the design and development of a digital literacy and mental health intervention. Applications are strongly
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climate-informed management needs in the Gulf of Mexico, South Atlantic, and Caribbean regions. DEPARTMENT SPECIFIC FUNCTIONS The successful candidate(s) will: Interpret and statistically analyze complex
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genomics, transcriptomics, proteomics, and epigenomics. Designs and develops innovative bioinformatics software and statistical tools for analyzing single-cell sequencing and spatial transcriptomics data
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, 1295 N Martin Ave, Tucson, AZ 85724 USA Position Highlights The postdoctoral researcher will work with Dr. Lifeng Lin. The research will focus on developing statistical methods for trial sequential