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quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and
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provide powerful tools to improve the quality and efficiency of data-driven models. In parallel to the development of data-driven models for dynamical systems with geometric structures such as Hamiltonian
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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, elaborate illumination profiles, and large computational domains surpassing several thousands cubic wavelengths. Furthermore, you will contribute to adapting the solver for massive parallel processing, as
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profiles, and large computational domains surpassing several thousands cubic wavelengths. Furthermore, you will contribute to adapting the solver for massive parallel processing, as well as develop new
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 2 months ago
28 Aug 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number DC5 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a
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skills and experience with numerical modeling and particle-based methods Interest in working closely with experimentalists Excellent written and spoken English skills Experience with parallel programming
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validation experiments for modelling • Computational fluid dynamics techniques • Finite element analysis method • Reviewing literature, planning and managing research, writing technical report / paper