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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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interdisciplinary project; we are open to work with researchers with varying academic backgrounds. Those with experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud
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Administrator (Senior Research Fellow) to oversee and optimize our High-Performance Computing (HPC) and distributed AI infrastructure. In this role, you will lead the architectural design and
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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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with researchers with varying academic backgrounds. Those with experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering
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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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• 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