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Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area Academic Affairs Department 00062 - School of Computing Location Campus City Salt Lake City, UT Type
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Nextflow or Snakemake, version control such as Git, and reproducible computational environments is preferred. Familiarity with GPU-accelerated genomics, high-performance computing, or cloud-based analysis
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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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, 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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-performance computing, GPU acceleration, automated benchmarking or large-scale numerical workflows. Evidence of self-motivated contributing to collaborative research outputs, open-source software, preprints
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, microfluidics, laboratory automation, and GPU computing infrastructure. The opportunity to develop AI methods and scientific software that are directly deployed on cutting-edge experimental platforms. Vacation
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SPECIFICS The Department of Mechanical Engineering at the Pennsylvania State University is seeking a Postdoctoral Scholar in the Electrochemical Engine Center (ECEC) in the field of large-scale computations
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scientific domains. Preferred Experience: Strong candidates may also have experience with: Large-scale neuroimaging datasets. GPU-based model training and distributed computing. Brain connectivity modeling
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23 Jul 2026 Job Information Organisation/Company Toyota Technological Institute Research Field Technology Information science Engineering Computer science Researcher Profile Recognised Researcher
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
(health insurance, paid leave, restaurant subsidy, etc.). Access to Inria’s computing infrastructure and to the ĀnandaBot project’s dedicated hardware (GPU servers, robot platforms). Integration in a well