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for Science @ Scale: Pretraining, instruction tuning, continued pretraining, Mixture-of-Experts; distributed training/inference (FSDP, DeepSpeed, Megatron-LM, tensor/sequence parallelism); scalable evaluation
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, engineering, business, or a related discipline. A minimum of 8 to 12 years of aligned professional experience, or a MS degree with a minimum of 7 to 11 years of relevant and aligned experience, or a PhD degree
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manage large-scale HPC storage systems, including parallel file systems such as Lustre, GPFS/Spectrum Scale, BeeGFS and WEKA. Design, implement, and operate large-scale Ceph storage clusters for HPC and
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combination of equivalent education and experience may be considered. Masters and PhD degree holders in the same fields of study are also encouraged to apply: Masters’ holders should have a minimum of seven (7
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. Masters and PhD degree holders in the same fields of study are also encouraged to apply: Masters’ holders should have a minimum of four (4) to six (6) years of relevant and aligned experience. PhD holders
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considered. Masters and PhD degree holders in the same fields of study are also encouraged to apply: Masters’ holders should have a minimum of seven (7) to ten (10) years of relevant and aligned experience