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Postdoctoral Associate | Mitochondrial Genomics | Lake Lab — Yale University, Department of Genetics
We are seeking a motivated postdoc to join our growing team in the Yale University Department of Genetics. Our lab uses experimental and computational methods to investigate cellular and health
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developing and evaluating innovative treatment approaches including those involving parents. The Program’s research relies on multi-informant and multi- method assessments, several of which were developed by
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arteriovenous malformations, using patient cohorts and surgical specimens together with whole exome sequencing and a range of transcriptomic, epigenomic, and spatial methods. The successful candidate will analyze
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biology, secretory pathway metabolism, ER stress responses, and liver and metabolic disease. The lab has developed a rapid ER immunoprecipitation method that enables robust metabolomic analysis of the ER
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Veteran Program and the Psychiatric Genomics Consortium, as well as other large biobanks such as the UK Biobank and AllOfUs. The ideal candidate should hold an MD or PhD, and have a strong background in
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Doctorate (PhD) in psychology or a closely related field Specialization or demonstrated interest in emotion or affective science, emotional intelligence, psychological well-being, or psychometric assessment
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background in causal methods and quantitative techniques. A PhD in in economics, public policy, public health, or related field is required. Highly desirable is demonstrated expertise in domestic violence
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on campus full-time, following Yale University’s postdoctoral policies. Qualifications We are seeking candidates who meet the following criteria: A PhD or equivalent degree, already obtained, in a related
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applied science on enhancing natural Earth systems to create safe, effective, and scalable methods of reducing greenhouse gas concentrations in the atmosphere. The YCNCC mission strongly emphasizes
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will collaborate with a renowned national and international team to develop cutting-edge epidemiologic methods and investigate the heterogeneity of medication effects during pregnancy and child