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Field
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Strong background in computational science, applied mathematics, or computational biology Ideally, familiarity with numerical methods for PDEs (e.g., finite difference, finite element) HPC experience is a
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on regional-scale modeling and simulation of subsurface flow and geomechanics, including associated numerical and computational methods. Topics may include upscaling, numerical analysis, and the design and
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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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using a multiscale numerical approach, from atomistic to large-scale thermomechanical modeling, coupled with micromechanical experiments (see figure below). The master internship and PhD thesis will
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of automotive engineering. Design, testing, and evaluation of vehicle components and systems. Application of numerical methods (FEM, MBS) to analyze static and dynamic load states. Execution of experimental
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modelling and numerical methods for ordinary and partial differential equations; Strong interest in working in a cross-disciplinary, collaborative project at the interface of electrochemistry and mathematical
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methods: The Met Office aims to help its customers stay safe and thrive by producing reliable weather and climate information. Numerical models of the climate system are an important tool to help achieve
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methods for investigation of the atomization process on electrohydrodynamic jets; 2) Conduct experimental and numerical simulation activities for electrospray characterization; 3) Preparation
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laboratory is required Knowledge of handling radioactive materials and radiochemical methods is an advantage Excellent knowledge of a broad range of microbiological, chemical and analytical methods