45 electronics-engineering-"https:" "https:" "https:" "https:" "UCL" Postdoctoral positions at Duke University
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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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, or translational oncology. Experience with flow cytometry, immune co-culture assays, drug-response assays, engineered cell models, organoids, patient-derived models, or animal models. Familiarity with antigen
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-derived brain and cardiac organoids. Successful candidates will have the opportunity to work in a collaborative and interdisciplinary environment that combines genomics technology development, stem cell and
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therapy, with a particular emphasis on epigenetic regulation, radiation response, and treatment resistance. Our work leverages patient-derived organoids, engineered cellular models, functional genomics, and
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to Leah Goldsmith [email protected]: · An email that includes a description of your background, fit, and why you are interested in this position, and contact information for at least two references
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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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, Statistics, Biostatistics, Computer Science, Computational Biology, Systems Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field Demonstrate strong computational and
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these help communicate their ideas. For questions pertaining to this position, please send an email to [email protected] and someone from our leadership team will respond. General Information
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-epithelial interactions. The role employs a multi-modal research approach spanning genetically engineered mouse models, histopathology, mouse and human organoids, CRISPR-Cas9 gene editing, single-cell
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across the Duke research community. EDUCATION/TRAINING: PhD in electrical engineering, physics, quantum theory/science, expertise in detection and estimation theory. PREFERRED: Statistical signal