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motivated Postdoctoral Associate to contribute to multiple projects focused on the contributions of genetic and environment influences to the development of substance use and disorders and related behavioral
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transcripts, archival review) and supporting RCT implementation. Opportunities for professional development include experiences in implementing a multi-level RCT in a health system environment, collecting
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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contributing to the writing and production of such proposals as well as the presentation of results at scientific meetings. 10 % 2. Train and oversee undergraduate researchers within the lab on related projects
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convenient to be determined by both parties). The positions are fully funded for multiple years with a recent award from the National Institutes of Health on Developing Novel Technologies That Ensure Privacy
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, the individual will also help train graduate students and technicians, and help maintain various equipment. The individual will also develop the skills and apply advanced techniques using various in vitro culture
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Experience PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. Certifications/Licenses Required Knowledge, Skills, and Abilities The position requires
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management of Northeast U.S. fish stocks. The postdoctoral researcher will develop a management strategy evaluation (MSE) simulation model to explore the impacts of long-term changes in stock productivity
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management of Northeast U.S. fish stocks. The postdoctoral researcher will develop a management strategy evaluation (MSE) simulation model to explore the impacts of long-term changes in stock productivity