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processing, machine learning, and analysis of large data sets Familiarity with light sheet microscopy Job Code: 00003820 POSTDOCTORAL ASSOCIATE Job Level: 00 Duke is an Affirmative Action/Equal Opportunity
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. Compliance with all applicable University and departmental policies and procedures. RESPONSIBILITIES: Research activities will focus on wet bench experiments and analysis of large data sets to clarify
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Policy Research Assistant Hybrid (Washington, DC or Durham, NC) Margolis Institute for Health Policy
artificial intelligence, medical product development and manufacturing, real-world data and evidence, health equity, global health, and the intersection of scientific and regulatory advancement with broader US
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Policy Research Assistant-Hybrid (Washington, DC or Durham, NC) Margolis Institute for Health Policy
analysis of quantitative and/or qualitative data within the scope of research and policy projects at Duke University. Primary responsibilities include conducting health policy-focused background research
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the central nervous system. Our lab has recently identified an endothelial level barrier that restricts access of large molecular weight serum proteins, including antibodies from accessing and protecting
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cytomegalovirus (cCMV) based on identified immune correlates of cCMV transmission and placental tissue models. The model will be calibrated from a uniquely large cohort of acutely CMV-infected pregnant women (n
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for multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and single-cell multi-omics data, or genetic variants and functional genomics data), and apply
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Bayesian modeling and machine learning using large longitudinal biomedical data, including electronic health records and mobile health data. The position will be funded by Samuel I. Berchuck, PhD who holds
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. The successful applicant will have access large, multimodal datasets, representing a number of novel perturbation experiments of human genomic variation, both through the IGVF consortia and through existing
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, the candidate will be responsible for developing methodology, performing data analysis, designing and executing experiments, presenting the results at internal and external meetings, and drafting scientific