25 parallel-computing-numerical-methods ";" Postdoctoral positions at Duke University
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imaging and patient care. You will join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to
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methods to suit the model, data structure, and scientific question. Experience with Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific
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communication, collaboration, and problem-solving abilities. A passion for advancing healthcare research through innovative computational methods. Choose Duke. At Duke, you'll find more than a
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interpret multimodal research data. Utilize programming and data analysis tools such as MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods
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methods using R, Python, MATLAB, or similar platforms. Miniscope imaging acquisition and analysis. Ex vivo imaging of nervous system tissues. Cell culture techniques. Mouse models related to migraine