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. Essential Duties and Responsibilities Analyze large-scale next-generation sequencing (NGS) datasets, including whole genome/exome sequencing, RNA-seq, and DNA methylation data. Develop and implement state
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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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quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
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minimum 5 years’ experience in epidemiology, data management, programming and statistics at supervisory level. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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the day) to accommodate your needs. Working remotely is possible for up to 1 day/week. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford
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large range of outstanding facilities at the Department of Biochemistry and the wider University of Oxford including a biophysical suite, proteomics, mass photometry and native mass-spectrometry equipment
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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applications for 1-2 fully-funded postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference
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, implementation, and presentation of results of empirical research independently. Data Analysis Cleaning, managing, and analyzing large-scale data using Stata, SPSS, R, or Python Related Research Interests