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will lead the execution of the experimental plan, work on the design of the data analysis methods, and perform the appropriate computational analyses. You will perform literature searches and use them
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to iteratively refine models and optimize experimental design. Collaborate with another postdoc in the NIH Center to use scientific machine learning (SciML) to automatically select mathematical models from data
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participatory design and student co-creation to develop responsible approaches to multimodal data collection, research design, and dissemination. ● Design and deploy a platform for linking measures of AI use
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global scales; national security and critical minerals governance; principles and norms for mitigating environmental and social impacts from mining; and institutional design and practices for addressing
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experimental systems, from cell lines to primary neurons to ex vivo brain tissue. The postdoc will be encouraged to develop a unique scientific identity within the broader project, lead publications, present
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Model and Data Sharing portal. Work collaboratively with graduate students, postdocs, software engineers, faculty, and senior researchers from Duke University and UNC Chapel Hill. Participate in research
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of vaccine and therapeutic candidates currently being produced in Good Manufacturing Practice facilities for early phase clinical trials. Minimum Requirements: Education: PhD in Immunology, Data Science and/or
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. This postdoc position requires a minimum two-year commitment and will consist of a hybrid work arrangement (at minimum 60% in office, 40% remote). This position will involve analyzing patient data and
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sponsor the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research or scholarship, and
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5 of the Postdoc Policy for the length of the appointment). The appointment involves substantially full-time research or scholarship and may include teaching responsibilities. The Postdoctoral