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ideal opportunity to promote the attractiveness of the Marseille region and to highlight current research and emerging ideas in all areas of mathematical sciences. Where to apply Website https
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. They will be provided with an office, a workstation and access to the CNRS's IT resources. Domestic and international travel expenses will be covered by the DiPLO project. Where to apply Website https
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: Writing scientific articles and presenting results at conferences. Candidate profile PhD in Applied Mathematics, Fluid Mechanics, or a related field. Strong programming skills in C++. Experience with IGA
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 5 days ago
work algorithm design and their theoretical analysis numerical simulations writing scientific papers Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09888 Requirements Skills
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of Brice Bathellier (Institut Audition), Virginie van Wassenhove (NeuroSpin), and Mehrdad Jazayeri (MIT). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/SNC9138-SRDOST-010/Default.aspx Requirements
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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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» Applied mathematicsEducation LevelPhD or equivalent Skills/Qualifications PhD in computational modelling or applied mathematics Additional Information Selection process Apply by sending an email to
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fellow will receive a net salary of around 2600 euros per month, including health and welfare insurance. The position is open to holders of a PhD in mathematics. The candidates are expec- ted to have a
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of the Inria center of the University of Lille. The position is funded by the CPER WaveTech@HdF project. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8524-GUIFER-001/Default.aspx Requirements
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Educational Background: PhD in Biophysics, Mathematics, Computer Science, or a related field. Strong foundation in dynamical modeling, particularly ODEs, PDEs, and probabilistic models. Technical Skills