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Field
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analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
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, or transitions to faculty. The position is optimal for applicants wanting to a) link multi-omic patient results to mechanistic, causal biology; b) eager to integrate wet-lab experiments with advanced bioinformatic
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, cloning, microscopy/biological imaging, FACS, bioinformatics, and/or protein biochemistry. A strong publication record in relevant fields demonstrating these skills is highly preferred. Additional
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transcriptomics, untargeted metabolomics, quantitative proteomics. Computational and AI approaches: microprotein bioinformatics, multi‑omic integration, protein language models, generative sequence design, and
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bioinformatics data Contribute to manuscript preparation and publication in peer-reviewed journals Assist in the preparation of grant proposals and research reports Mentor and train graduate and undergraduate
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, the candidate will have experience with mouse work, surgeries, cloning, microscopy/biological imaging, FACS, bioinformatics, and/or protein biochemistry. A strong publication record in relevant fields
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assay development, metagenomic (mNGS) sequencing, and bioinformatics analysis to advance regulatory science and enhance the safety of biologics. Learning Objectives: Under the guidance of a mentor, you
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Position Summary The Cooper lab at WashU is seeking a post-doctoral research fellow with a strong background in immunology and bioinformatics to work on projects related to understanding somatic
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, cell staining and sorting, RNA sequencing (RNA-seq), RT-PCR, and bioinformatics analysis. The role also involves working with animal models of autoimmune diseases, including arthritis, inflammatory bowel
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recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Postdoctoral Fellow – Computational Biology / Bioinformatics Focus: Multi