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/user behavior, Collect and analyze human performance data (reaction times, workload, situational awareness, eye tracking, etc.), Develop and validate computational models of human behavior in driving
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associates in Artificial Intelligence (AI) in Biomolecular Modeling. The postdoctoral associate will focus on developing and applying AI methodologies to drive advances in drug discovery and biomolecular
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on four areas: DC Systems, Energy Conversion and Storage (DCE&S) Photovoltaic Materials and Devices (PVMD) Intelligent Electrical Power Grids (IEPG) High Voltage Technologies (HVT) The department’s ESP
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
, Immunoengineering, or a closely related field. Required Qualifications, Competencies, and Experience Previous work with cells and/or animal models of immune responses. A strong background in immunology, and/or
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, and other relevant cell types. Conduct stereotaxic surgical procedures and targeted injections in mouse models. Support viral vector delivery and molecular, biochemical, histological, and cellular
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communities as a model system. Main duties and responsibilities Anaerobic digestion communities are among the best-characterized and most ecologically important microbial ecosystems. Composed of diverse
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sustainable food systems. We work to elucidate how system structure mediates sustainability outcomes from management change or policy implementation. Our applied work consists of modeling and field-based
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About the Opportunity Summary: Research involves developing and implementing material models to predict microstructure, phase change and residual stress in processes in high energy processes in
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a Research Infrastructure? No Offer Description Postdoc position in RNA Technologies Flagship – Foundation Models for RNA Regulatory Networks: from RNA-RNA Interactions to RNA-DNA Genome Regulation
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Requisition Id 16887 Overview: We are seeking a Postdoctoral Research Associate who will support the Ceramics and Ceramics Composites (CCC) Group within the Materials Science and Engineering