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based at Yale School of Medicine for 25 years. It is an international, collaborative network of epidemiologists, statisticians, pharmacoepidemiologists, and clinicians with an exceptional record
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Associates are expected to cultivate their own line of research while benefiting from Yale’s and the DEC’s collaborative and supportive academic community. Qualifications We are seeking candidates who meet the
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regulate gene expression. Interrogating Genetic Architectures: Explore how combinations of variants together create a phenotype or disease state through phenotype associations and network logic models
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AI can accelerate provenance research processes, including especially the use of Large Language Model based transcription of printed and handwritten documents, and subsequent extraction of knowledge
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is supported by NIH funding and sits within a rich collaborative network at Yale, including the Yale Cancer Center, the Yale Stem Cell Center, the Wu Tsai Institute, and computational collaborators in
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network at Yale, with regular interactions and potential joint projects with colleagues in Biomedical Engineering and related areas (including collaborators such as Drs. Cristina Rodríguez, Evelyn Lake, and
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culture and molecular genetics Excellent written and oral communication skills Ability to work independently while contributing to a collaborative research environment Preferred Qualifications Experience
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, organizational, and communication skills. Ability to work both independently and collaboratively in a multidisciplinary research environment. Experience with one or more of the following is highly desirable
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in statistics, machine learning, clinical investigation, and research leadership; and develop an individual development plan addressing publications, funding, communication, networking, and the next
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Associates are expected to cultivate their own line of research while benefiting from Yale’s and the DEC’s collaborative and supportive academic community. Postdoctoral Associates are expected to work