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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Posting Information Posting Details Department UNC Inst for the Environment - 635200 Posting Open Date 04/14/2026 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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well as secondary data wrangling and analyses on large, cross-national datasets from dozens of countries across 4 waves on adolescent identity, school experiences, and social outcomes. This role will also entail
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with large-scale data construction and empirical research • Programming skills (R, Stata, or Python) Applications should be sent by e-mail, together with significant documents, indicating the reference
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-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be
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Clinical Cohorts Collaborative (PC3) which brings together multiple long-term UK Parkinson’s studies into a single large dataset comprised of control, prodromal and Parkinson’s participants. This post
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/Resume. Required Education and Experience PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field. Preferred Qualifications Strong publication record in top-tier AI
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Disseminate results through scientific publications in top AI tier-venues Provide guidance to PhD and MSc students Contribute to teaching and advanced seminars Design and executing large-scale experimental
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research experiments within the Pediatric Brain Tumor Research Program. This position will be responsible for evaluation and analyzing large sequencing and multiome data-sets. Baylor College of Medicine
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17 Apr 2026 Job Information Organisation/Company Leiden University Research Field Economics » Labour economics Economics » Political economy Researcher Profile Recognised Researcher (R2) Application
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excellence and continuous methodological improvement. Collaborate with the Data Scientist (AI) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology