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, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune microenvironment architecture. Collaborate with wet lab
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fellow with strong expertise in bioinformatics and statistics to join our research team in the Departments of Ophthalmology, Cell & Developmental Biology, University of Michigan. Our research encompasses a
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Organization U.S. Food and Drug Administration (FDA) Reference Code FDA-CBER-2026-0042 How to Apply Connect with ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App Store
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Surgery Campus IU School of Medicine Indianapolis Position Summary A post-doctoral fellow position is available immediately to join the Hashino Stem Cell Research Lab at Indiana University School
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host immune system. These responses are frequently HLA-restricted and mediated by T cell receptor (TCR) recognition. Learning Objectives: Under the guidance of FDA scientists, you will gain
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JW, Surov SS, Liang Y, Parunov LA, Ovanesov MV. Effect of pH on thrombin activity measured by calibrated automated thrombinography. Res Pract Thromb Haemost. 2020 Jun 12;4(5):944-945. Learning
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The team is seeking a Research Fellow/Postdoctoral Fellow in the area of microfluidic engineering and instrumentation development for cell-based biological analysis and sorting. Under the co
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 11 days ago
that enhance cell production of immunomodulatory factors. Learning Objectives: You will have the opportunity to learn how biomedical engineering tools would be used in the assessment of regenerative medicine
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study questions at multiple levels using genetically modified mouse models, preclinical mouse models, primary organoids, single-cell RNA-seq, proteomics, lipidomics, metallomics, standard molecular