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, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable. Model Calibration
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shared resources, including: Advanced sequencing platforms Flow cytometry and cell-sorting facilities High-throughput imaging technologies High-performance computing infrastructure Translational and
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: Education: PhD in Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Experience/Training: Must have experience with analyzing omics data. Familiarity or
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doctorate (PhD, MD/MPH, etc.) in implementation science Demonstrated proficiency through previous research experience implementation science methods application and dissemination Demonstrated proficiency
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image analysis, machine learning or deep learning, python and/or MATLAB, scientific computing and numerical methods. Experience with computing, PyTorch, spectral CT, photon-counting detectors, or
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anti-tumor B cell responses. The PhD postdoctoral candidate would be a highly motivated immunology trained individual, interested in B cell signaling, B cell activation and B-T cell interaction, and
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. Experience working with hardware-software integration and custom instrumentation. Knowledge of research computing, image processing, and data analysis methodologies. Choose Duke. At Duke, you'll
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research environments. Improve workflow efficiency and computational performance across research computing platforms. Regulatory Compliance & Data Security Support compliance with institutional policies
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rejection. The lab has developed advanced tools for identifying and characterizing rare B cells, with the broader goal of improving transplant risk assessment and graft outcomes. The position requires a PhD
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Care and Hospice, Duke Health and Wellness, and multiple affiliations. Be You. Shihuan Kuang, PhD, a premier researcher at Duke University, has a postdoctoral associate position in his lab PhD is