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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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have US citizenship or permanent residency. Please send your application (including CV and contact information for at least three references) by email to Prof. Joel Gelernter at [email protected]
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. The Associate will have the opportunity to engage with not only activities at the Economics department, but also at the Cowles Foundation and the Center for Algorithms, Data, and Market Design (CADMY). Applicants
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collaborative teams that span disciplines. Salary $68,500+/year depending on experience. For more information on salary range and postdoctoral benefits, please see: https://postdocs.yale.edu/postdocs/being-a
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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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. 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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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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. Receive the IT support required by their research (e.g. specialized software or computation time). Additional Information The position is for up to four years, renewable annually based on performance
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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