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-throughput experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning
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and unstructured data in the electronic health record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in
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methodology, data management, biospecimen collection, patient/participant interactions including study consent and medical history, data collection, and medical record abstraction. This research
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, Associate Professor of Pediatrics and Director of the Pediatric SCD Program at Yale University. The research laboratory is focused on the study of chronic pain in SCD. The goal of the research
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Introduction The Xu Lab is a highly collaborative research group in the Department of Psychiatry at the Yale School of Medicine. We employ translational genomic approaches to explore the complex
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clinical research, including: Conducting patient interviews, performing data collection, and maintaining quality management Processing, handling, and shipment of biospecimens in accordance with study
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laboratory is focused on the study of chronic pain in SCD. The goal of the research laboratory is to improve outcomes and care for persons with SCD. The research program is focused on studying chronic pain
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) experiments and an opportunity to learn and work with the state-of-the-art instrumentation, high throughput processing and novel technologies/processes of a translational research program, biospecimen
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, December 3, 2025 Our clinical research group at Yale School of Medicine seeks a postgraduate trainee/PhD student to contribute to a project related to digitally phenotyping health measures across
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William Mattingly – Secondary mentor, assistance with LLM processing Dr Agnete Lassen (YPM) and Antonia Bartoli (YUAG) – chairs of the Collections Provenance Working Group Yer Vang-Cohen – Head of IT