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emissions and exposures from observational data. -Work may include statistical or Bayesian inverse modeling, data assimilation, optimization, uncertainty quantification, numerical methods, and related
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method Where to apply Website https://concorsi.unict.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research focuses on next-generation numerical methods and algorithmic
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contribute to undergraduate and graduate teaching in areas such as Numerical Methods, Ordinary and Partial Differential Equations, Dynamical Systems, Optimization, Scientific Computing, Complex Systems, and
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models and numerical methodologies for scientifically relevant problems. The successful candidate will contribute to undergraduate and graduate teaching in areas such as Numerical Methods, Ordinary and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
of symbolic and numerical methods, or computational geometry (stratification and triangulation).Solid background in linear algebra and differential equations to address control theory (H∞ methods) and linear
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23rd October 2026 Languages English English English Postdoctoral Fellowship Postdoctoral Research Fellow in Physics-Adapted Numerical Methods Apply for this job See advertisement This is Western
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of differential or partial differential equations, and the implementation of numerical methods suited to the dynamic systems under study. The post is available within the POEMS laboratory. Where to apply Website
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CFD solvers is convenient, as well as a knowledge of turbomachinery problems. Analysis and development of numerical methods LanguagesENGLISHLevelExcellent Research FieldEngineering » Aerospace
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understanding how climate change weakens snow and ice. Combining analytical, numerical, and experimental methods, the project will improve predictions of material failure and avalanche risk, contributing to more