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Field
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massively parallel computing systems, including GPU-accelerated platforms. Develop and maintain scientific software, primarily in Python , using modern practices for software development, testing
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analysis. Perform analyses in high-performance computing (HPC) and GPU-enabled environments. Collaborate with clinicians, computational scientists, and data scientists in a highly interdisciplinary setting
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single-mode and multimode semiconductor laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where
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and Software Program ( WASP ). You can find more information about us on the Department of Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one of
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Computing and Mathematical Sciences Division
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Work Schedule Summary VP Area Academic Affairs Department 00062 - School of Computing Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 63000 to 73000 Close
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tightly coupled to GPU-accelerated high-performance computing using Lund University’s national e-infrastructure. You will join an interdisciplinary research environment that values scientific independence
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leadership-class computing systems and institutional clusters. Write robust Linux bash scripts and job submission scripts for SLURM and PBS environments, including multi-node GPU/CPU workflows, monitoring
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algorithms, pangenome graphs, or population genetics Deep learning for sequence, EHR, or imaging data High-performance and GPU computing environments Excellent candidates from adjacent quantitative
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with GPU computing, distributed training or inference, high-performance computing systems, cloud-native platforms, edge devices, Internet of Things (IoT) systems, or federated/distributed data