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++, or Julia, with strong numerical modeling, data analysis, and reproducible code development skills; experience with Git-based workflows and AI or ML for science is a plus. Experience designing and executing
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signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis, and reproducible code
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Python, C++, or Julia, with strong signal processing, numerical modeling, and data analysis skills; experience with Git-based workflows and AI/ML for science is a plus. Hands-on experience in structural
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appreciated skills: - experience in conducting complex experimental work with Electric applications and/or Cryogenics, - numerical Modelling skills Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
command of English (approximately equivalent to CEFR level C1) Preferred Qualifications and Skills Experiences in numerical modeling, advanced data analysis, and physical oceanography Experience working
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the experimental and numerical characterisation of composite materials, including mechanical testing, X-ray CT, Digital Image Correlation (DIC), and FEM model validation, will be considered a strong advantage. Where
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the experimental and numerical characterisation of composite materials, particularly under fatigue loading, including fatigue testing, X-ray CT, fatigue damage modelling, and experimental data analysis and FEM
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Center for the Mathematical Modeling and Data Science, the University of Osaka is expected. https://www-mmds.sigmath.es.osaka-u.ac.jp/ ・If a desirable candidate is not available, the application may be re
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Mechanical Engineering obtained no more than 6 years ago; good knowledge of both Italian and English languages; Expertise in the numerical modeling of mechanical systems, vibration control, with a particular
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derived theoretical frameworks from the European Research Council – Starting grant ‘OceanCoupling ’ project and numerically implement the theoretical models. Interested applicants must address why and how