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Information Eligibility criteria The applicant should have a PhD degree (or equivalent) in Computer Science or Mathematics and good knowledge in symmetric key cryptology. Good programming skills are required
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Atlantic Association for Research in the Mathematical Sciences | Saint John East, New Brunswick | Canada | about 18 hours ago
completion of a PhD in one of these areas may be considered for an initial appointment at the rank of lecturer. The Department of Mathematics and Statistics consists of eight full-time faculty members and
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Classification Title: Assistant Professor in the area of Probability and Stochastic Processes Classification Minimum Requirements: - A PhD degree in Mathematics or a closely related field
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, The Faculty of Engineering and Science, Department of Computer science, Electrical engineering and Mathematical sciences has a vacancy for a PhD research fellow position (3 years). About the position
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, Neuroscience Posting Number req27102 Department Neuroscience Department Website Link https://neurosci.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Maurer laboratory
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), A. Rosso (LPTMS), C. Furtlehner, S. Chibbaro (LISN). The postdoc will have dedicated funding for conferences and computing equipment. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8626
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Posting Details Position Information Position Title Assistant Professor, Applied Mathematics Department Mathematics Posting Number F260090 Posting Link https://www.ubjobs.buffalo.edu/postings/64020
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12 Sep 2026 Job Information Organisation/Company Umeå universitet Department Umeå School of Business, Economics and Statistics, Umeå University Research Field Mathematics » Statistics Researcher
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will be based
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This PhD project will develop mathematical models to investigate population dynamics in biological systems. Combining dynamical systems theory, mathematical modelling, and data-driven approaches