105 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Carnegie Mellon University
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malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats, and effectively participate in the broader
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research 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
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; comfortable developing production‑grade code and APIs. Solid understanding of ML theory, statistical learning, and common algorithms. Hands‑on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep
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help is needed. Must understand the scope of the job assigned and connect with customers to ensure scope of work is understood. Proven understanding of the National Electrical Code and applicable City of
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systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors, oversight
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software-intensive systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors
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bullying policy throughout the Pre-College community. Ensuring that the shared vision, values, and code of conduct of Pre-College Programs is upheld throughout the housing communities and among students and
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or develop applications or systems programs from detailed specifications. Code, test, and debug programs. Develop and maintain technical documentation. Flexibility, excellence, and passion are vital qualities
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systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors, oversight
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Reinforcement Learning frameworks such as Areal or SkyRL. Familiarity with coding agentic frameworks (e.g., OpenHands, SWE-Agent) and software engineering benchmarks (e.g., SWE-Bench). A combination of education