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networks, validation and testing of deep learning models on multiple neuroimaging datasets for early identification and prognostication of neurological disorders. The incumbent will have access to a
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networks, validation and testing of deep learning models on multiple neuroimaging datasets for early identification and prognostication of neurological disorders. The incumbent will have access to a
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team members to build a strong and effective design organization, and promote a culture of continuous learning and development. Manages design budgets and resource allocation, ensuring efficient use
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of interest include (but are not limited to) rare-variant analysis, data simulation, data integration, heterogeneous patient subgroup identification, time-series analysis, deep learning, and identifying and
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into successful treatments with global impact. Dr. Zijun Frank Zhang is looking for a Postdoctoral Scientist to join a diverse team! Research in the Zhang laboratory uses statistical learning and deep learning as
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the central uniting theme being that we wish to understand the role of the microbes in and on our bodies in the progression of these diseases. To learn more, please visit Human Microbiome Research Institute
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conventional machine learning and deep learning methods, and computer programming languages of Python, C++, and Java, deep learning framework of Tensorflow, PyTorch, Keras, or PyCaffe. Expertise in statistics