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Field
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•Collaborate on multiple research projects at a time. •Preparing and explaining data reports to primary investigators. •Preparation of independent research manuscripts for publication. •Assist with data queries
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of Health (LIH) is seeking a highly motivated Postdoctoral Researcher with specialized expertise in multi-omics data analysis. You will play a central role in analyzing large datasets from multiple large
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-Oxford MS (NO.MS) dataset as part of Oxford–Novartis Collaboration for AI in Medicine. The NO.MS is the largest and the most comprehensive dataset on multiple sclerosis (MS), a collection of data on over
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understanding the neural mechanismsunderlying behavioral impairments in neurodevelopmental disorders (i.e., Fragile X Syndrome). Taking advantage of multiple state-of-the-art techniques (e.g. multiphoton in vivo
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publication record with multiple first-author papers at premier venues (CVPR, ICCV, ECCV, BMVC, NeurIPS, ICLR, PAMI, IJCV) within the past 3 years Deep expertise in video understanding, including current state
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and have strong computational biology skills. Previous experience with epigenome-wide assays is preferred. The successful candidate will be working in a collaborative environment with multiple faculty
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Position Summary The Cruchaga Lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The NeuroGenomics and Informatics Center generates and analyzes Whole-Genome Sequencing
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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in
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Qualifications: Ph.D. (completed within the past 0-5 years) in computer science, electrical engineering, applied mathematics, or a related field. Strong proficiency in Python, with additional experience in C, C
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. • Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target trial emulations- TTE) • Developing data integration methods to combine multiple massive datasets