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Postdoctoral Associate | Mitochondrial Genomics | Lake Lab — Yale University, Department of Genetics
our research please see our website: https://www.thelakelab.org/ Responsibilities Generate and characterize novel cellular models of mitochondrial genome dysfunction using genome-editing and related
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, and other resources offered by the Institute, to advance their scientific training and professional development. Wu Tsai Postdoctoral Fellows design innovative projects that expand their expertise
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Appointment Dates: May 1, 2026 to April 30, 2029 Email/ Website: [email protected] , https://medicine.yale.edu/psychiatry/research/clinics-and-programs/center-science-cannabis-cannabinoids/ Introduction
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available in Yale’s Benefits Summary . Website https://shanshanliulab.com Contact Shanshan Liu, Ph.D., Assistant Professor, Department of Cell Biology, Yale School of Medicine; [email protected] Position
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: July 1, 2026 to June 30, 2028 Email/ Website: [email protected] , https://medicine.yale.edu/psychiatry/research/clinics-and-programs/center-science-cannabis-cannabinoids/ Introduction of School
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health insurance. For more information, please visit: https://postdocs.yale.edu/postgrads/being-a-postgrad-at-yale/benefits This position is in-person and based primarily at the Collections Study Center
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. Overview of the Postdoctoral Position This position is designed for a PhD, or equivalent doctoral-level investigator who seeks advanced research training at the intersection of cardiovascular medicine
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. 3. Proficiency in SQL and Python for manipulating and analyzing real-world data; familiarity with observational study design, cohort definition, and standard data models (e.g., OMOP CDM) is a plus
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for fellows across the Gallery. The fellow will join the Network of Public Programmers and help plan group meetings. Salary: $54,500 commensurate with education and experience; a competitive benefits package
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experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory