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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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Lehrstuhl für Angewandte und Computergestützte Mathematik | Aachen, Nordrhein Westfalen | Germany | 4 days ago
(e.g., C/C++, Python, Fortran, Julia, Matlab) Good analytical skills Excellent written and communication skills in English Experience in particle-based methods or numerical optimization is a plus
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to stiffness and energy storage-and-return performance under loading conditions representative of the gait cycle; ii) The definition and application of a stiffness-driven design and optimization framework, based
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, Infected macrophage populations. Perform parameter estimation using optimization and machine learning approaches Develop numerical schemes for high-dimensional structured PDEs (pseudospectral methods
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‑generation photonic and analog electronic design automation (EDA). You will explore, develop, and validate AI‑assisted methodologies that accelerate the design, optimization, and verification of optical and
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for motivated students in the field of numerical fluid mechanics and multi-physics simulation methods. Be part of change Analyze and optimize existing coupling strategies to improve the efficiency and scalability
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large-scale numerical simulations will generate rich datasets describing the relationship between microstructure, deformation mechanisms, and mechanical response. While physics-based simulations involving
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simulation and optimization of PDE-based problems involving uncertainties or stochastic components. We are looking for an internationally recognized individual who is a leader in the field of Numerical
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, Physics (computational or solid-state focus), or a related field Strong interest in additive manufacturing, topology optimization, computational design, and process modelling Background in numerical methods
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to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and