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PyTorch, and high-performance computing environments; ability to work independently and as part of an interdisciplinary research team; motivation to publish research results in international journals and
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optimization methods such as reduced-precision quantization, pruning and sparsity, KV-cache compression, and approximate computing change the security and reliability properties of Transformer-based
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, and propose theoretical lenses to be used. The following experience is beneficial: Knowledge of Linux/Unix systems, reproducible scientific workflows, and High-Performance Computing (HPC
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