55 development-"https:"-"https:"-"https:" "https:" ";" Postdoctoral positions at Yale University
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Postdoctoral Associate | Mitochondrial Genomics | Lake Lab — Yale University, Department of Genetics
scientists, with state-of-the-art research facilities and vast resources to support professional development. For more information about our lab, past publications and our research please see our website
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development of new grant applications. Qualifications Applicants must have a doctoral degree from an accredited institution by the start of the appointment. Successful applicants may have backgrounds in a
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history recording and transcriptions; collaborative project development with community-based organizations; and project development work that complements and contributes to the overall goals of the
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databases, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a
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diseases. We are interested in understanding how alterations in monocytes and T cells contribute to the development and progression of intestinal diseases in extremely premature infants. Particularly, we
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gene variants already identified in human native and allograft kidney disease, to elucidating mechanisms via invitro tools to the development and/or application of unique mouse models for in vivo
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Study Center, Yale School of Medicine Anticipated Appointment Dates: Mid 2026 Email/Website: https://medicine.yale.edu/childstudy/research/clinical-innovations/anxiety-and- (Link is external
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professional development activities are available. Information regarding benefits can be found here: Benefits | Office for Postdoctoral Affairs Please apply online: https://apply.interfolio.com/190447
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mentoring program; structured CPC Fellows research in progress meetings; and additional training activities focused on career development strategies. We will select highly qualified candidates who wish to
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Informatics & Data Science. About the Lab Our research focuses on the development, evaluation, and trustworthy use of AI in medicine. We work across language, imaging, and multimodal health data, with