43 power-engineering-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Duke University
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. Familiarity with model explainability techniques such as saliency mapping and Grad-CAM. Ability to contribute to study design, hypothesis development, and innovative research initiatives. Why Duke? At Duke
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background in molecular biology and cell biology. Experience working with animal models. Demonstrated scientific curiosity, initiative, and commitment to research excellence. Ability to work independently
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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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at this intersection is required. The candidate should have the ability to work in a diverse lab group setting, planning and conducting assessments independently and collaboratively, interpreting data, and presenting
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and anticipated conferral date. Experience working with rodent models of pain, inflammation, neuroscience, or related biomedical research. Demonstrated ability to independently design, execute, analyze
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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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-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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(publications). Ability to work independently; interpret, present, and discuss experimental data. Excellent communications skills. Other Requirements: This position is onsite. The work is performed on-site
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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