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obtained Numerical modelling and inversion of magnetotelluric and controlled source EM data Interpretation of the modelling results in a geoscientific context New and further development of numerical methods
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of mathematical derivations — checking proofs, running numerical simulations, implementing models in Python or Mathematica, researching the relevant literature. You do not need to be an expert in all areas the QBF
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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of steel compositions. The future potential of the model / numerical tool to replace costly trial- error method will also be evaluated. The Institute Jean Lamour (IJL) is a joint research unit of CNRS and
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exploit a numerical model that consistently integrates: • frictional slip (aseismic and seismic), • fluid pressure evolution, and • fault permeability variations, in order to analyze the mechanisms
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 17 days ago
Job description:Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500
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engineering or related fields. Strong background in fluid mechanics, scientific computing, numerical methods, PDEs, and/or data-driven modeling Interest in interdisciplinary research and open science
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and with the 2AT team at Institut Pprime to develop a shape-optimisation tool based on resolvent analysis, applied to landing-gear aeroacoustics The researcher will develop a numerical methodology based
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evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using
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Center for Astrophysics | Harvard & Smithsonian | Cambridge, Massachusetts | United States | 3 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