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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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, turbulence, CFD, numerical methods, and turbulent combustion. • Proficiency in HPC environments (parallel computing on CPU/GPU systems) • Demonstrated publication record in reputable journals/conferences
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program with 25 positions, we offer 9 fellowships and participate in numerous graduate school and the MD/PhD program of the CU School of Medicine. Our faculty and staff are diverse and gender balanced
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for a duration of six years. NumPEx contributes to the design and the development of numerical methods, software components and tools that support future productive European exascale and post-exascale
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) and Computational Fluid Dynamics (CFD), for polymer composite manufacturing processes Perform multi-physics simulations involving coupled thermal, mechanical, and material behavior across multiple
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computational imaging. The project aims to develop a novel optical phase and refractive-index tomography platform and computational algorithms capable of overcoming the challenges of multiple scattering in thick
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regulations related to health care Attention to detail and accuracy Computer literacy Preferred Qualifications Experience and demonstrated skill with using the teaching method of asking questions for self
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experience Demonstrated programming expertise in MATLAB and/or Python (object-oriented design, numerical methods, scientific visualization) Prior experience in scientific computing or within the subsurface
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for representative substrates. As running multiple experiments in parallel during each optimization step will greatly reduce the evaluation time and experimental effort, a batch selection strategy will be implemented