81 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs at Carnegie Mellon University
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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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-aided control of manipulators on mobile robots for real world applications Prototyping in scripting languages Transitioning applications to deployment with production quality code Designing, developing
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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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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
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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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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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must have the ability to obtain and maintain a Department of Defense security clearance. Knowledge, Skills and Abilities: Strong ability to analyze source code and identify quality concerns, architecture
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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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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 combination