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Field
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(End Date of Assignment, Project, or Grant) 09/30/2026 Position Type Faculty Job Family Faculty Position Overview Computational Combustion Laboratory (CCL) at Marquette University is recruiting a
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and broadcasting systems and has developed the best-in-class large scale testbeds for research and innovation and enjoys the state-of-the-art lab and computing facilities. Established in 2012, 5GIC is
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on Earth. We have computational capabilities that are designed to process millions of tasks in parallel, allowing the entire body to function under extremely variable conditions. Our organ of vision
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dynamics (DNS, LES, or RANS) and/or high-performance computing (MPI, GPU, or parallel solvers), as demonstrated by application materials. Evidence of peer-reviewed publications in fluid dynamics, turbulence
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scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
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computational fluid dynamics (DNS, LES, or RANS) and/or high-performance computing (MPI, GPU, or parallel solvers), as demonstrated by application materials. Evidence of peer-reviewed publications in fluid
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
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-motivation skills Strong foundation in CFD with proficiency in Python and AI/ML techniques, and additional experience in parallel computing tools such as CUDA and MPI Experienced with CFD simulation tools (e.g
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software for multi-arch environments Development in high-performance computing (HPC) or distributed systems Strong understanding of Linux toolchains, build systems (CMake), and debugging tools Parallel