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Field
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. Experience with high-performance computing, cloud computing, GPU acceleration, or distributed data processing. Experience participating in international scientific collaborations and/or multi-institutional
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education or research environment 3+ years of relevant professional experience Experience in GPU computing Experience with Github for software management Experience with the usage of workflow languages (like
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resources, including Texas Advanced Computing Center (TACC), and multiple HPCs on campus, including some GPU-heavy clusters as well as the molecular biology, flow cytometry, and imaging equipment in the Life
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infrastructure, including high-performance/GPU compute, research data storage, and collaboration with UT Austin's central research computing resources such as TACC, with clear separation between research and
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-related discipline. 2) Strong programming ability in optimisation or machine learning (e.g., Python/Matlab/C++; PyTorch/TensorFlow). Experience in signal processing/wireless or SDR/GPU prototyping is a plus
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graduate program and maintain the minimum number of credits (6 credits per semester) in order to hold a student position at the University of Minnesota and have expertise in the material covered by
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16 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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, validation, calibration, and inference. Working with large, longitudinal, structured and unstructured datasets in Linux and high-performance or GPU-accelerated computing environments. Applying rigorous methods
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or High-Performance Computing clusters for GPU-intensive tasks. Desired: Masters degree in computer science, Data Science, Digital Humanities, or a related field. The College of the Arts and Sciences
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Department: Cloud Computing and Storage – Institute of Computer Science Deadline: 31 Aug 2026 Start date: Start date by agreement Job type: full-time Job field: IS/IT: Consultations, analyzes IT