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with job schedulers, e.g. SLURM, PBS, SGE, etc. ● Experience working at an academic institution ● Experience with parallel codes and libraries (e.g. MPI, OpenMP, Cuda) ● Experience with research and/or
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, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient
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community utilizing various reporting tools such as PeopleSoft Query and Excel software. Monitor the on-going alignment of financial transactions to parallel transactions in the billing module; identify
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