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Field
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assays or TCID50, neutralization assays) Immunological methods (ELISA, Western blotting, flow cytometry, immunofluorescence microscopy) Basic bioinformatics and data analysis (e.g., R, Python, GraphPad
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, functional proteomics, and AI-driven bioinformatics tool development, with the overarching goal of advancing cancer treatment through data-driven translational research. Our work bridges data science and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, functional proteomics, and AI-driven bioinformatics tool development, with the overarching goal of advancing cancer treatment through data-driven translational research. Our work bridges data science and
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imaging. A successful postdoctoral candidate should have a Ph.D. in the relevant field with a strong background in LC-MS/MS. Some bioinformatics expertise is preferred but not required. More details about
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Classification Title: Post Doc Associate Classification Minimum Requirements: Ph.D. degree in biomedical informatics/bioinformatics, computer science, data science, electronic/biomedical engineering
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: Publish research findings in high-impact journals and present at scientific conferences. Qualifications: Educational Background: Ph.D. in bioinformatics, computational biology, computer science, or a
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Conference (CICON) and CRI’s Bioinformatics Bootcamp Apply for a Fellowship Join the Global Immunotherapy Community at CICON25 If you’re interested in connecting with leaders in the field, registration is open
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, transduction, and functional assays, as well as barcoded DNA libraries. Analyzes pooled barcoded screens and single-cell RNA-seq datasets using bioinformatics tools. Maintains detailed electronic lab notebooks
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the following areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine
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communities in health and disease. The successful candidate will work at the interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory