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systems traditionally rely on centralised control and human-in-the-loop monitoring of its moving parts. However, this requires large amounts of resources for the network operation. Operators, responsible
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contribute to the development and optimization of the training pipelines for these large-scale models, working at the intersection of cutting-edge research and high-performance computing to advance
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– support daily platform operations in collaboration with the development team, perform database updates and data integrity checks Content workflows – implement and manage content across languages and
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
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in reputable conferences or journals Experience with network simulators such as OMNeT++ or ns-3 Experience with High Performance Computing (i.e., SLURM) Experience with Git Workplace Workplace We offer
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elasticity, dissipation, and slender geometry interact to influence crack initiation and growth. Using in-house codes and high-performance computing resources, the candidate will simulate fracture processes