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study AI-supported learning environments Contribute to design-based and mixed-methods research, including qualitative and case-based studies Support pilot studies and early-stage project development (e.g
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
- $75,000 Proposed Start Date 09/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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, geospatial data, and machine learning methods. No candidate is expected to have proficiency in all of these computer-based skills. Rather, the ideal candidate will be a well-rounded individual with a high
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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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research method innovation. The collaborative expertise of the postdoctoral associate cohort, using both qualitative and quantitative methods, will contribute to, for example, foundational research
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of sequencing data such as long-read or single-cell RNA and DNA methods Two to five (2-5) years of experience working with post-mortem brain tissue or equivalent (other primary human tissue/cell work, and/or
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applicants will, ideally, be in post by 1/10/26. The project, “Biomechanical Design Of Patient Specific Fixation Methods For Mandibular Reconstruction Surgery aims at designing patient specific mandibular
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Physics Division in the Department of Radiation Oncology at the University of Kansas Medical Center seeks a Postdoctoral Fellow in Medical Physics to develop novel computational and experimental methods
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management protocols for large-scale survey datasets collected across ±600 villages and up to 10,000 households in Niger. Contribute to the analysis of RCT results, including estimation of treatment effects
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing