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Field
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7 Apr 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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7 Apr 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 days ago
16 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Mathematics Researcher Profile Recognised Researcher (R2
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Areas: Pure, applied or computational mathematics Appl Deadline: none (posted 2025/04/07 05:00 AM UnitedKingdomTime) Position Description: Position Description The School of Mathematical Sciences
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18 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie Research Field Engineering Computer science Mathematics
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postdoctoral research positions within a multidisciplinary project supported by Schmidt Sciences under the VIEW programme. The project, in collaboration with Imperial College London, EPFL, and multiple partners
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Start date: September 2026 (flexible) Duration: 3 years (36 months) Project The High Performance Computing (HPC) research group (Prof. Florina M. Ciorba), Department of Mathematics and Computer Science
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Faculty of Health and Medical Sciences University of Copenhagen We are looking for two highly motivated and dynamic computational postdocs to join the group of Prof. Ana Cvejic from the 1st of June
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, statistics, physics, computer science, or related disciplines. Strong background and experience in mathematical and computational modeling of infectious disease dynamics, preferably with applications
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. Richard Nickl and work in the project area 'Statistical aspects of non-linear inverse problems', which broadly addresses mathematical and foundational challenges in contemporary data science and the theory