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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
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must have a PhD in Geotechnical Engineering, or a related field with a focus on one or more of the following: Centrifuge experimental testing (design, execution, and data interpretation) Numerical
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, analysis, and interpretation of the data with existing software. The successful candidate will have a strong background in applied seismology and some experience in seismic data processing. Basic knowledge
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and seismic attribute analysis in sedimentary environments with a strong geological background and confident use of seismic software. Experience in the interpretation of seismic data in tight and
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Team leader with a high degree of knowledge in the overall field and recognized expertise in specific areas; problem-solving frequently requires analysis of unique issues/ problems without precedent
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Fourier analysis in particular - Practical knowledge of numerical/symbolic computation (Sagemath, PARI/GP, Mathematica, etc.) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR9009
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail
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, Applied Probability, Partial Differential Equations, Numerical Analysis, Scientific Computing, and Optimization. Candidates with portfolios that align with Saudi Arabia’s national priorities for research
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highly qualified Research Engineer to join the Computational Engineering and Analysis Research Group (COMEA) at Turku University of Applied Sciences. The position focuses on Computational Fluid Dynamics
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Center for Astrophysics | Harvard & Smithsonian | Cambridge, Massachusetts | United States | 10 days ago
world-class scientists, contribute to current and on-going research, and develop essential skills in data analysis, numerical modeling, and scientific communication. With personalized mentorship, access