83 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Carnegie Mellon University
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Temporary Data Engineer (with Apache Airflow 2.0 and 3.0 experience) - Temporary Employment Services
. Pipeline Development: Modify and develop complex data applications and system programs based on detailed technical specifications. Quality Assurance: Code, test, and debug programs to ensure data integrity
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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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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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requirements. Supply & Safety Management: Requisition necessary parts and materials while ensuring all work complies with safety regulations, building codes, and university policies. Other duties as assigned
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code, research publications, and hardware specifications FPGA design and simulation Requirements: Current enrollment in an undergraduate or graduate degree granting program. Able to work an internship
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with professional engineers and researchers Willingness to learn new technologies with cross-functional teams Potential to analyze code and system architectures to identify vulnerabilities Skills in
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position combines hands-on technical work—such as coding interactive tools, automating processes, and developing dynamic educational content—with customer support and partner engagement. The ideal candidate
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with building codes Other duties as assigned Flexibility, excellence, and passion are vital qualities within the department of Facilities Management. Inclusion, collaboration and cultural sensitivity
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code, research publications, and hardware specifications FPGA design and simulation Requirements: Current enrollment in an undergraduate or graduate degree granting program. Able to work an internship
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for NLP tasks (working with tokenizers, JSONL formats or Hugging Face datasets). Demonstrated ability to read technical research papers and implement algorithms or baselines from code repositories. A