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Field
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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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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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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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communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization of AI/ML software libraries for non-conventional hardware architectures Physics
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join our TU Delft team to contribute
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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
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of computer scientists. Extent: 100% employment, distributed as 80% research and 20% departmental duties (typically teaching at the BSc or MSc level). The position is meritorious for future roles in
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under realistic operating conditions. In parallel, SIT works closely with the maritime ecosystem on decarbonisation and digitalisation. Through its Future Ship and System Design Programme and partnerships
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of the Information Age - One high bandwidth fiber optic cable can replace thousands of electrical links to transmit the same amount of information. As a parallel to the thriving fields of soft devices and robots