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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
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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