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, embracing failure as a learning opportunity, and continuously enhancing our knowledge and methods to tackle local, national, and global challenges. The postdoctoral associate will work directly with both
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service, the University of North
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. * Document data generated in studies, analyze data with appropriate statistical methods, prepare manuscripts
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observations of greenhouse and ozone-depleting gases using models, measurements and inverse methods. The general goals are to determine emissions, transport rates and mechanisms, loss rates and mechanisms, and
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Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. Research experience in at least one of the following areas: ● Chip design
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
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statistical methods, prepare manuscripts for publication in scientific journals and presentations for laboratory meetings and national conferences, assist with grant proposals, protocols, and compliance reports
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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designed for multiwavelength cosmological modelling. Once in hand, the candidate will use the simulations to explore novel analysis methods with the goal of applying them to data. Collaborative endeavours