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report. Job Requirements: A PhD’s degree in mechanical engineering or related engineering field. Know multiple-scale and multi-phase numerical modeling and familiar with lattice Boltzmann simulations
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OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale) | Triest, Limpopo | South Africa | 2 months ago
evidence, to achieve significant advances in scientific knowledge through the application of numerical modeling and/or innovative geophysical and geological approaches to the study of Earth system processes
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positions, directly supported by TEMPEST, a new National Science Foundation Science and Technology Center, led by Prof. Michael S. Murillo at MSU: https://tempest-stc.msu.edu The successful candidates will
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understanding into more reliable and resilient materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with
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supervision of a senior scholar. Knowledge of commercial FEA package Abaqus and the programming language Python. The successful candidate will have a good knowledge of numerical implementation of
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 2 months ago
data as a benchmark. The project will involve mathematical modeling, construction of numerical methods, coding, testing, numerical simulations, and possibly measurements. You will mainly do your
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Analytical and numerical modeling of the constitutive behaviour of
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environment, in particular in terms of seismic risks and underwater noise pollution, by relying on numerical modeling of seismo-acoustic wave propagation generated by underwater explosions and on seismic and
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Expertise in at least one of the following: numerical sediment transport modeling, empirical sediment transport equations and geomorphology, remote sensing of rivers and sediment Track record of
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researchers in a highly selective and interdisciplinary environment. The successful candidate will join a multidisciplinary team combining theoretical condensed matter physics, numerical modeling and