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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 5 hours ago
9- or 12-month, fixed-term, open-rank (Assistant/Associate/Full) Teaching Professor position in Data Science, with a focus on foundational computational tools, computational thinking, and
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undergraduate research assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related
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accurate modelling and simulation of complex systems in diverse science and engineering disciplines including civil engineering, biomechanics and life science. However, the exciting developments in
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Position Description The Data Science and Statistic s Program at the University of Richmond invites applications for a two-year postdoctoral research position in the Distant Viewing Lab , to begin in
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to graduate education in computational science, data science, and software engineering to lead multiple courses each year. Disciplines where we are seeking instructors include: Computational Chemistry
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 16 hours ago
biostatistics, statistics, computer science, computational biology, or related quantitative discipline. Have published a 1st author paper from PhD dissertation or postdoctoral research Core Skills
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Skip to main content Lecturer Pool - Master of Computational Social Science - ISSP - College of Letters & Science Apply now to Lecturer Pool - Master of Computational Social Science - ISSP - College
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research results as well as actionable insights. Candidates may come from cognitive science, psychology, computer science, computational social science, consumer research, behavioural economics, complexity
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Mathjobs.org | 28 days ago
Position Overview: Successful candidates will join Roy Lederman's research group, which is affiliated with the Department of Statistics and Data Science (S&DS) and the Quantitative Biology Institute
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Position Overview: Successful candidates will join Roy Lederman's research group, which is affiliated with the Department of Statistics and Data Science (S&DS) and the Quantitative Biology Institute