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) for dynamic systems with unknown but measurable performance functions. Experience in system identification and online time-varying parameter estimation algorithms. Programming skills in MATLAB/Simulink, C/C
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parameters—including additive manufacturing—to component-level behavior and overall engine system performance using state-of-the-art MBSE methods and tools. Particular attention will be given to how
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outdoor environments and analyse the data using Matlab code to estimate the appropriate channel parameters in various wave bands for the design of radio systems. 2. Collect the data and analyse
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24 Nov 2025 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country
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, and system validation for small jet engine concepts. The research will include the development of modeling strategies that connect material properties and manufacturing process parameters—including
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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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Engineering, or related. Strong experience in ODE/PDE modeling and simulation (MATLAB, Python, or R). Experience withnumerical methods, optimization, parameter estimation, and sensitivity and uncertainty
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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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improved performance in tasks of systems analysis like parameter estimation, solving inverse problems, and uncertainty quantification. The successful candidate will join a multi-institution research team
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
implementation will be performed in the open-source code Hawen (https://ffaucher.gitlab.io/hawen-website/ ) developed in the team Makutu, with help from from the developer's team. Phase 1: modeling The first phase