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/Electromagnetics theory, design and simulations Machinelearning mathematics and algorithms Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written
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pipelines by combining statistical, synthetic, and decentralized methods to improve both the privacy and utility of anonymized datasets. Moreover, this research will examine the potential of AI and LLM
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
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complex, three-dimensional microstructure, and understanding how that microstructure influences electrochemical performance requires methods that can bridge the scales from 3D imaging to functional
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also be able to demonstrate all the following essential criteria: Expertise in aerostructural optimisation/aeroelasticity, and MDO. An outstanding, demonstrable background in numerical methods. High
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FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Desired profile Holding a Master of Science degree in Mechanics, the candidate has solid skills in numerical mechanics, numerical methods, and
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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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, mathematics, or related scientific disciplines. Skills in numerical tools and programming are desirable (MATLAB, python, C++ etc). Any experience or capabilities in engineering design or manufacturing methods
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travel. Requirements: The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics, or related scientific disciplines. Skills in numerical tools and
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The “UNVEIL” brings together Universities, Research Organisations and leading European institutions involved in (a) developing and application of novel methods in nondestructive testing and