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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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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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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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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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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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the post- doctoral associate’s education and skillset in SCD observational and clinical trials design and data analyses and qualitative research methods in SCD. They will receive mentorship in study design
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MD, PhD, or MD/PhD degrees and experience in a variety of molecular techniques, animal experiments, and data analytics are encouraged to apply. The ideal candidate will spend at least two years in
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the following materials to Dr. Choukri Ben Mamoun at [email protected] : Curriculum vitae Brief statement of research interests and career goals Names and contact information for three references Yale
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interests and career goals Names and contact information for three references Selected recent publications and reviews from the laboratory will be shared with qualified applicants. Yale University is an Equal
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multidisciplinary environment. Application Interested applicants should send a cover letter, CV, and contact information for three references to: In-Hyun Park, PhD, Associate Professor of Genetics and Neuroscience