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structures and regulatory elements. Integrate multiple sources of genomic and functional data to prioritize candidates for experimental validation. Work closely with laboratory members to guide experimental
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mentorship and structured educational activities, trainees will gain hands-on experience generating, analyzing, interpreting, and experimentally validating functional genomic data within biological and
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to the team’s research, including being involved in the analysis and dissemination data and mentoring other trainees in the lab on related projects. The position provides ample opportunities for publication and
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validating EI measures and studying mechanisms of behavior change at scale. The postdoctoral associate’s primary responsibilities will include data preparation and management, advanced statistical analysis
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with in-depth interviews on sensitive topics particularly welcome. Demonstrated ability to work in multidisciplinary research teams. Background knowledge of data science and/or AI technologies
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cover letter describing research interests, previous experience in in vivo two-photon imaging and data analysis. Contact information for three references who can comment on research experience and
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Salary will be based on the Yale Postdoctoral Compensation policy . Support for travel to conferences and professional development activities are available. Information regarding benefits can be found here
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, implementation science, community-engaged research, and cancer data science. The program is enabled by over 35 faculty members at the Yale Schools of Public Health, Medicine, and Nursing, who have an outstanding
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epidemiologic and statistical methods, including causal inference approaches, machine learning techniques, and high-dimensional data integration methods. Prepare first-authored manuscripts, abstracts, progress
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be based on the Yale Postdoctoral Compensation policy . Support for travel to conferences and professional development activities are available. Information regarding benefits can be found here