103 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Carnegie Mellon University
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or engineering activities for publication. You have a reputation for the highest level of research and engineering integrity. You have demonstrated contributions and have published research, code (e.g., models
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must have the ability to obtain and maintain a Department of War (DoW) security clearance. Knowledge, Skills and Abilities: Strong ability to analyze source code and identify quality concerns
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existing software artifacts and leading customer engagements. The ideal candidate will have significant experience in full software lifecycle development, the ability analyze source code and mentor others
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have published research, code (e.g., models, data, software applications), or technical perspectives. Familiarity with Emerging Trends and Opportunities: You are familiar with technical challenges and
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have published research, code (e.g., models, data, software applications), or technical perspectives. Familiarity with Emerging Trends and Opportunities: You are familiar with technical challenges and
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complex data integration systems to move data between multiple types of systems and databases Follow established coding standards, security practices, and development procedures Performing unit, integration
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their tradecraft to exploit those vulnerabilities. Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and
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their tradecraft to exploit those vulnerabilities. Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and
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environments. This role includes guiding technical teams, evaluating architectural tradeoffs, developing prototypes, analyzing existing source code, and leading customer engagements that inform acquisition and
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Pittsburgh, PA or Arlington, VA. Strong experience in one or more programming language such as Python, C/C++, and Java; comfortable developing production‑grade code and APIs. Solid understanding of ML theory