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-impact projects across our core focus areas. We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https
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in a university, research or comparable enterprise environment. Deep expertise in Linux and HPC architecture, including heterogeneous CPU/GPU compute, workload scheduling, high-speed interconnects
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, Macintosh and Linux are desired assets. Must have experience operating and performing minor maintenance on all types of multimedia equipment. Experience in installing and supporting mobile technology
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must have strong foundation in statistics, including multivariate statistical analysis and appropriate validation of quantitative models. The candidate must have experience working in Linux or Unix-based
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, pandas, scikit-learn), Linux, and Git. Proven ability to develop well-documented, maintainable research software and manage experimental datasets. Strong publication record relative to career stage
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shell scripting environments such as bash or PowerShell. • Experience working in or knowledge of Unix/Linux. • Experience using or knowledge of database systems such as MongoDB, Oracle, PostgreSQL
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, especially those provided by federal agencies specific to federally funded research. Direct experience supporting Linux workstations and servers. Effective at leading collaboration amongst teams working in
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Windows/Linux, cloud environments (AWS, Azure, GCP), network traffic (PCAP, NetFlow), and identity platforms (Entra ID, Okta). Querying & Log Analysis: Proficiency using platform query languages (e.g. KQL
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: Windows, MacOS, Unix/Linux Ability to learn new frameworks, systems, platforms, and hardware Strong communication skills, strong organizational skills, and proficiency in English Ability to organize tasks
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demonstrated through research experience and relevant publications. Candidates with demonstrated experience of working with fMRIprep pipelines will be given higher preference. Familiarity with Linux Operation