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] Subject Area: All fields in mathematics Appl Deadline: 2026/04/01 04:59 AM UnitedKingdomTime (posted 2025/08/25 05:00 AM UnitedKingdomTime, listed until 2026/04/01 04:59 AM UnitedKingdomTime) Position
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and computational mathematics including applied analysis, mathematical modelling, scientific computation, numerical analysis, probability and statistics etc.; teach undergraduate and postgraduate
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 8 days ago
Fellowships, available on https://dre.pt/application/file/a/127230968 . Workplace: The work will be developed at Center for Mathematical Analysis, Geometry and Dynamical Systems of Instituto Superior Técnico
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the following degrees: B. S. in Mathematics, Statistics, Actuarial Sciences, Discrete Analysis and a B.A. in Mathematics, Statistics, and Applied Mathematics. In addition, the Department offers a graduate degree
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functional analysis. Qualifications: Applicants must have received a Ph.D. in mathematics, applied mathematics, or a relevant field by August 1, 2026. Ideal candidates will be able to demonstrate excellence
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has a strong PhD program in Applied Mathematics, Applied Statistics, Graph Theory/Combinatorics, and Analysis, featuring active research collaborations both within the University and with external
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of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
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for additional job details https://www.unipr.it/bandi-di-concorso-incarichi-di-ricerca Work Location(s) Number of offers available1Company/InstituteH2020 - European Research CouncilCountryItalyGeofield Contact
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for additional job details https://www.unipr.it/bandi-di-concorso-incarichi-di-ricerca Work Location(s) Number of offers available1Company/InstituteH2020 - European Research CouncilCountryItalyGeofield Contact
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within applied mathematics, materials science, physics and building science. Mathematical statistics is an important part of these four areas of research. Relevant applications include machine learning