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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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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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
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, or reading groups), present their work at research methods and field-specific seminars, assist with DDSS projects on occasion, and offer consultation to faculty, graduate students, and postdoctoral researchers
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Experience developing pipelines and code for gravitational-wave searches and/or parameter estimation Knowledge of advanced Bayesian methods and samplers, machine learning approaches to signal processing
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community-engaged research. Required License/Registration/Certification N/A Physical Requirements repetitive motion typical of desk work (sitting/bending/typing/twisting); prolonged exposure to computer
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methods to discover unknown metabolites that have strong associations to experimental variables or phenotypes, but which have eluded identification. The position will remain open until excellent fits
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plans Develop methods or research that incorporate highly specialized training in chemistry Conduct experiments and collect data Analyze, evaluate, and present findings in professional journals Learn more
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. The ideal candidate thrives in interdisciplinary settings and is eager to contribute to method-driven research with real-world impact. Required qualifications include: PhD in electrical engineering, computer