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muscle biology, immunology, CAR T-cell engineering, fibrosis, or single-cell genomics is highly desirable This position is Onsite. The work is performed on-site or at a designated assignment location. Be
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in AI for genomics (e.g., generative models, transformers, genomic language models, agentic AI) and related areas of statistics (e.g., uncertainty quantification for machine learning and AI). Apply
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translational research, we collaborate with multiple labs in DHVI and beyond to apply insights from structural biology to vaccine design. We have state-of-the-art facilities that include tissue culture labs
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resistance using genetically engineered mouse models, patient-derived models, organoids, and cell culture systems. Apply state-of-the-art experimental approaches that may include mouse genetics, molecular
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, molecular biology, tumor immunology, therapeutic resistance, or functional model systems are strongly encouraged to apply. Prior experience in epigenetics, genomics, or computational biology is a plus. This
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federally funded and institutionally supported projects focused on improving outcomes after trauma and critical illness, including studies that use electronic health record data, physiologic measurements
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techniques. To apply, please provide CV/biosketch, brief statement of research interests/experience, and contact information for 2-3 references. Duke is an Equal Opportunity Employer committed to providing
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cryo-EM workflow, including sample preparation/freezing, data collection, processing, and atomic model building. Biochemical/Biophysical Characterization: Managing protein engineering (cloning
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. The work is performed on-site or at a designated assignment location. Be Bold. In this position, you will Use (JAK inhibitors), histological (SafO/Fast Green and H&E stains), IHC or IF staining for cartilage
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for dissemination, and plenty of opportunities for career advancement. Responsibilities: Apply implementation science methods into starting and ongoing projects Assist CHeRI PIs with implementation science resources