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Field
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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Responsibilities: Build and analyze dynamical system models (multiscale, QSP, PBPK, PK-PD). Apply numerical methods, optimization, and parameter estimation to calibrate models to experimental/clinical data. Perform
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and optimize TD-RAS (time-dependent restricted-active-space) methods for many-body systems including positrons. - Carry out large-scale numerical simulations of photoionization and de-excitation
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 14 days ago
opportunity in computational inverse problems in the context of the ERC-StG European project Incorwave which aims to develop advanced numerical and mathematical strategies for passive imaging. This postdoctoral
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. The post-doctoral researcher will be responsible for the analysis and design of reconfigurable optical metasurfaces, making use of optimization and inverse design methodologies. Where to apply E-mail
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Physics or Materials Science. Experience on numerically modeling light-matter interactions, designing photonic devices, and employing optimization and inverse design approaches. Experience in project
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site, the Pprime institute is recruiting a researcher to work on of constant or modulated circulation around moving airfoils. The project aims at defining and optimizing blade kinematics in order to
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position as POSTDOC (F/M/X) in the Optimization and Optimal Control Group . (Full-time employee) for an initial period of one year, with starting date to be arranged. Your Tasks The full-time position is
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Full time: 35 hours per week Fixed term: 36 months (with possible extension to 48 months) We are looking for a talented and ambitious early career researcher to work on the project “Numerical
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to have a Ph.D. in Applied Mathematics, Mathematics, Control, Operations Research, Statistics, or a related field. Experience in numerical analysis, scientific computing, and either optimization or machine