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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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robustness. The research is designed to attract both Earth science and computing-oriented candidates. It offers an opportunity to work on a scientifically meaningful environmental system while developing
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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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to apply Website https://candidate.recrur.com/public/jobad/EN/c13cb387-3 Requirements Research Field Psychological sciences Education Level PhD or equivalent Research Field Environmental science
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relevant documents at the candidate's discretion. For more information about the required documents and recruitment process, please contact [email protected] . Where to apply Website https