50 postdoc-in-thermal-network-of-the-physical-building Postdoctoral positions at Duke University
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the Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in collaboration with other researchers on machine learning tools that help humans make better
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application to medical imaging (e.g., MRI) · Experience with MRI data analysis, network science, graph theory, topological analysis, or related computational approaches, especially in Alzheimer’s
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issued to sponsor the individual. The term of the appointment is limited (see Section 5of the Postdoc Policy for length of appointment).The appointment involves substantially full-time research
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interest to analyze genomics data and interpret biomedicine from data; experience or interest in cancer genomics, tumor microenvironment, single-cell data, spatial omics, immunology, gene regulatory networks
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who smoke cigarettes—that withdrawal from smoking leads to increased pain sensitivity (hyperalgesia). Building upon preliminary findings from a Duke Institute for Brain Sciences Incubator award, we will
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of the Postdoc Policy for length of appointment). The maximum total term of appointments for a Postdoctoral Appointee being 5 years. The appointment involves substantially full-time research or scholarship and may
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, and behavioral measures. · Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. · Develop and refine research protocols and methodologies in
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all voices are heard. All members of our community have a responsibility to uphold these values. Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may
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, that the contributions of allindividuals are respected , and that all voices are heard. All members ofour community have a resp onsibility to uphold these values. Essential Physical Job Functions: Certain jobs at Duke
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microbial community behaviors. We seek to understand and engineer the spatiotemporal behaviors of biological networks using tools from systems and synthetic biology. A major goal is to design novel strategies