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Position Description DARTMOUTH: Instructorship in Applied and Computational Mathematics: Instructorships in Applied and Computational Mathematics are postdoctoral positions consisting of half
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
field before commencing the postdoctoral position Required Qualifications, Competencies, and Experience Funding for this position is provided by the National Science Foundation’s Workforce Program in
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equations, probability, topology and dynamics, and foundations of data science and scientific computation; but outstanding candidates in any area of mathematics will be considered. Candidates must have a PhD
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considered. Qualifications: This position requires a Ph.D. in Applied Mathematics or closely related area. We are looking for candidates with postdoctoral experience, an established research program and
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University of Ottawa | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 3 months ago
: $90,987 – $114,932. Applications cannot be submitted through MathJobs. For the full description and to apply (deadline: July 26, 2026), please see: https://uottawa.wd3.myworkdayjobs.com
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, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial
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have a demonstrated interest in furthering these goals. Applications and all supporting materials must be submitted electronically through MathJobs following this link: https://www.mathjobs.org/jobs/list
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eight sessions of counseling at no cost How To Apply Applications and all supporting materials must be submitted electronically through MathJobs: https://www.mathjobs.org/jobs/list/29065 Applicants must
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offers undergraduate majors in mathematics, financial mathematics, computer science and actuarial science. The position will include both administrative and instructional responsibilities, the doctoral
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to scientific computing and other scientific domains. Candidates with strong backgrounds in stochastic analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas