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phage display serological profiling (PhIP-Seq) while also working on complementary projects in next-generation sequencing (NGS), molecular assays, and computational pipelines. The role combines wet-lab
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will contribute to our overall goal of advancing novel therapeutic targets for neurodegenerative disease. Candidates with backgrounds in computational biology, stem cell biology, or neuroscience
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associated clinical outcomes. The fellow will be responsible for identifying computational approaches for data selection, processing, and predictions/inference. The expected outcome of the project is to
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technologies, computational genomics, functional assays, and integrated data analysis. We are seeking a highly motivated Postdoctoral Researcher who shares our passion for solving foundational problems in human
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Position Overview School / Campus / College: College of Arts and Sciences Organization: Astronomy Title: Postdoctoral Scholar - Roman Crowded Field Photometry Specialist Position Details Position Description Postdoctoral Scholar - Roman Crowded Field Photometry Specialist The Department of...
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microbiome data and/or analyzing sequencing data in a high-performance computing environment. Experience in BSL2 laboratory and familiarity with ELISA techniques. Demonstrated fieldwork experience in community
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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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neutrinos with an emphasis on discovering physics beyond the Standard Model. The Center hosts a broad program including LEGEND, He6-CRES, Project 8, Selena, PIONEER, and others. Our professional engineering
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and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding
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level. The position requires working collaboratively with a team of experimental and computational biologists to integrate genetic and genomic data with mathematical modeling to better understand