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as code” approach to systems automation. You’ll be working across a range of predominately Linux based systems, including HPC and GPU accelerated compute, large-scale and high-performance storage, and
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, leveraging industry and University best practices, and ensuring that technology solutions align seamlessly with stakeholder goals and the University’s evolving needs to enhance operational efficiency and
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full testing in simulated space environments undertaken. Key Responsibilities 1. To write simulation files for the current VHDL control and filter codes to make performance analysis. 2
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