208 software-engineering-requirements-engineering Postdoctoral positions in United States
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, biomedical engineering, or a related field. • Experience with coding software such as Python, R, or Matlab. • Familiarity with collaborative coding software such as GitHub and database management
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multifunctional materials, with applications across engineering, medicine, and materials science. What you need to know Salary: Compensation will be commensurate to the selected hire’s experience. Location/Schedule
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are seeking applications from individuals with a PhD in any one area of engineering such as: aerospace, chemical, civil and environmental, computer science and software, electrical and computer, industrial and
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for genome and epigenome editing tools. This will require expertise in molecular and cellular biology, molecular engineering, genetic manipulation, and bioinformatics. Your primary focus will be using
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collaborative effort across XSD, the Materials Science Division (MSD), and the Chemical Sciences and Engineering Division (CSE). Key Responsibilities: Develop and enhance pump–probe sub-nanosecond TXS method
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of this 1-year position, though this is not a strict requirement. The candidate selected will contribute to the School’s world-class research and software development efforts and have the opportunity
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Apply now Job no:501817 College / VP Area: College of Engineering Work type:Staff Location:Newark, DE Categories:Research & Laboratory, Full Time Curious about the full value of working at UD? In
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, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties
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of Engineering offers undergraduate and masters level programs in the areas of Electrical Engineering, Data Science, Software Engineering, Mechanical Engineering, Civil engineering, and Manufacturing Engineering
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
generation (RAG) Prompt engineering experience Developing, training, and testing machine learning (ML) models Software engineering expertise Preferred Qualifications, Competencies, and Experience Experience