Sort by
Refine Your Search
-
Country
-
Employer
-
Field
-
identify PDE factors; d) use the LOV-Turbo-ID system to identify PDE factors; and e) characterize identified novel PDE factors. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9002-KAZMOC-005
-
background in (not necessarily all) the following fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability
-
professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The following mathematical disciplines
-
fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability to teach in German and English We offer
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 28 days ago
component to conceive novel setups and collect data to compare with simulations. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09688 Requirements Skills/Qualifications
-
Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | about 1 month ago
to industrial relevant test cases. Become autonomous with regards to the CODA software development process by developing and integrating a RANS turbulent wall law. [M1-M6] Thorough literature review of PDE based
-
trustworthy mathematical models that are calibrated to measurement data. We are motivated by applications in engineering in which the system models are partial differential equations (PDEs) with potentially
-
Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 2 months ago
discovering research and potentially pursuing a PhD. Expected skills • Solid background in numerical methods (PDEs, finite elements, scientific computing). • Interest in modeling, model order reduction, and
-
Strong background in computational science, applied mathematics, or computational biology Ideally, familiarity with numerical methods for PDEs (e.g., finite difference, finite element) HPC experience is a
-
Design, Modelling and Simulations (MATHDES) group, and work under the supervision of: Matteo Croci. Google Scholar: https://scholar.google.com/citations?user=AmQKnwcAAAAJ&hl=en CV: https://croci.github.io