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Field
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orientations, and maintaining system scheduling software. The clusters run Linux and use Slurm for scheduling jobs; this position will use both to support researchers across the university to develop and run
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programming languages such as OCCA, CUDA, HIP Knowledge of Linux operating systems and build/installation processes e.g. CMake Experience developing CFD software Experience with Github or similar Ability
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NVIDIA BlueField, AMD Pensando or similar. Driver Development: Develop and optimize Linux kernel modules and userspace drivers (DPDK) to manage flows. Hardware/Software Co-Design: Collaborate with optical
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science, informatics, cybersecurity, information systems, etc. Possesses an earned master’s degree in any field, AND current I.T.-related certifications (i.e. CompTIA, Linux, Cisco) AND at least 2 years of professional
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engineering with exposure to emerging cloud technologies, Linux environments, containerisation, virtualisation and hardware acceleration techniques. This is an exciting opportunity for talented Software
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platforms, including public clouds (Azure and AWS), Windows and Linux servers, virtualisation, storage, backup and monitoring services investigate incidents, service requests and technical problems
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higher-education IT support. Experience using ServiceNow or comparable incident management systems. Troubleshooting skills for Windows, macOS, and basic Linux/UNIX. Understanding of networking, VPN, email
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systems: Windows, Linux, Apple, etc. • Excellent written and verbal communication skills. Other Qualifications To the extent this position requires the holder to research, work on, or have access
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
. Proficiency with bioinformatics workflows for taxonomic profiling of microbial communities and detection of antimicrobial resistance genes, including work in a command-line (Unix/Linux) environment and a
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with Linux and R and have good skills in statistics and data summary. Excellent experiences with molecular experiments. Experience in disease or pest evaluation in field or under controlled conditions