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to manuscript preparation. Mentor trainees as opportunities arise and participate in a collaborative, supportive research environment. Required Qualifications PhD (or equivalent doctoral degree) in Neuroscience
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biology methods, dry-lab bioinformatic analysis, and a translational approach using clinical samples, including blood and tissue samples from people with HIV. This postdoctoral researcher may also be
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: Christopher T. Rentsch, PhD, FISPE, [email protected] Website: https://medicine.yale.edu/internal-medicine/vacs/ Introduction to the Research Group The Veterans Aging Cohort Study (VACS) has been
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foundation in biology and deep interest in virology, immunology, and/or viral genomics and be scientifically rigorous, creative, and enthusiastic to develop new experimental methods. Experience in
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. The successful applicant will have a 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
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of affected individuals, families, and communities. This position will be under Dr. Harper, who conducts qualitative and mixed methods research, informed by transformative and CBPR approaches, exploring
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) Laboratory. The group develops clinically grounded artificial-intelligence and data-science methods to derive scalable digital biomarkers from echocardiography, cardiac computed tomography, electrocardiography
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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