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video. You will lead the architecture and development of distributed systems that manage and serve massive datasets—including over 100 million media assets in the Macaulay Library—and support the full
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are united in our efforts to understand, explain and improve our world and the human condition. About the workplace LUNARC is the centre for high-performance computing (HPC), visualisation, and storage at Lund
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for new hires Phone list maintenance and OIT billing review Email distribution list administration Planning and coordination of departmental events Calendar and scheduling support for administrative
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and operate this infrastructure. Job description You will play a key role in automating and operating a large-scale, distributed computing platform. You will work with modern open-source technologies in
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at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied as the underlying data distributions change constantly and the same models are not valid. Hence, we need
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: Developing, integrating and maintaining distributed data pipelines, running on dedicated High Performance Computing (HPC) platforms, using industry best practice methodologies. Troubleshooting software
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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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management of High-Performance Computing (HPC) systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing, with a
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software on HPC systems. Familiarity with performance analysis and compiler optimization techniques. Experience with distributed and parallel computing technologies such as MPI and OpenMP. Experience with
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This post is part of ESA’s Junior Professional Programme. We are looking for enthusiastic candidates with up to 3 years of relevant professional experience after their Master's degree to join ESA