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Field
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finite element methods with applications to wave propagation problems and nonlinear reaction-diffusion problems. Further information about our research area and about our team can be found on our homepage
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and interpret observed tidal effects. The tools should be able to compute the excitation and damping of (nonlinear) tides throughout the evolution of multiple systems, as well as to model tidal effects
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mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news/articles/cd7pwezyze1o) for which we
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nonlinear MEMS-based oscillators driven by storage-ring radio-frequency (RF) signals to enable advanced manipulation of X-ray pulses. Background information on the project can be found in the publications
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the Faculty Statistician, including: Longitudinal & repeated-measures studies (e.g., linear/nonlinear mixed-effects models, GEE, repeated-measures ANOVA) Survival & time-to-event analyses (e.g., Cox
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emphasis on standard and non standard finite element methods with applications to wave propagation problems and nonlinear reaction-diffusion problems. Further information about our research area and about
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work centers on multibody systems, with a particular emphasis on the understanding of nonlinear effects and variability. As part of this role, you will contribute to research activities in these areas
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at least one of the following areas: femtosecond lasers, nonlinear optics, high-harmonic generation, XUV spectroscopy, electron or ion spectroscopy, molecular beams, vacuum instrumentation, detector systems
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benefits package including pension build-up, paid parental leave and additional holiday bonuses. For more information, see our websites: https://www.universiteitleiden.nl/en/working-at/job-application
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Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA) | Montpellier, Languedoc Roussillon | France | 3 months ago
bistable modules (characteristic dimensions, materials, geometry, etc.); - Develop mechanical models, either classical or using Artificial Intelligence, accounting for dynamic effects and nonlinear