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• High performance computing experience • Proficiency in German, French, or Arabic How to Apply Submit the following through Indiana University’s PeopleAdmin system: https://indiana.peopleadmin.com
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, agentic multi-modal data science for complex transport phenomena, in addition to forward/backward uncertainty quantification, numerical analysis, and high-performance computing. Equal Employment
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. Should have advanced programming skills in Python, as well as proficiency in other programming languages such as R, NCL, and MATLAB. Should have proficiency in scientific computing, high-performance
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. Significant experience using Python for high performance applications with libraries such as: Numpy, Numba, CuPy, and PyQtGraph Significant experience using C++ for numerical computing applications
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discipline. ● Experience: ○ Expertise in computational science ○ Proficiency in Python ○ Experience with high-performance computing (HPC), with GPUs preferred ● Related Skills and Other Requirements
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, including genomic, transcriptomic, proteomic, and circulating biomarker data. The lab provides access to state-of-the-art computational infrastructure, including high-performance computing (HPC
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Natural Science and the College of Engineering. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science
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scientific computing, control theory, data science, data driven methods, discrete mathematics, discretization methods, graph algorithms, high-performance computing, integral equations and nonlocal models
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• Familiarity with Cesium, 3D Tiles, or geospatial streaming frameworks • Experience preparing geospatial assets for real-time or simulation environments • Background in distributed or high-performance
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preparation and grant development. Experience with statistical genetics, bioinformatics, genomics, or computational biology. Experience using high-performance computing and/or cloud computing