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., M.D., D.V.M.) Preferred Qualifications: . PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field. Experience
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collected through prospective clinical trials. What You'll Bring Required Qualifications PhD, MD, or MD/PhD in Cancer Biology, Molecular Biology, Genetics, Genomics, Computational Biology, or a
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HIV prevention and clinical decision support. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) Preferred Qualifications: . PhD in one of these fields: Computer Science
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scenarios. Minimum Requirements: A PhD degree is required. Preferred Qualifications: Experience with mathematical, computational, or statistical modeling Experience developing simulation models
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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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. 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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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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research environments. Improve workflow efficiency and computational performance across research computing platforms. Regulatory Compliance & Data Security Support compliance with institutional policies