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that matters, your journey starts here! As one of the oldest forms of applied science and engineering, Carnegie Mellon University's Department of Metallurgical Engineering was founded in 1906 and named after its
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an area related to COSMOS, including degrees in operations research, industrial engineering, statistics, computer science, and mathematics. Preferred Qualifications Completed dissertation research related
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curious to deliver work that matters, your journey starts here! As one of the oldest forms of applied science and engineering, Carnegie Mellon University’s Department of Metallurgical Engineering was
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multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities. The successful candidate will work at the interface of computational
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and collaborative environments. Required Education: PhD from an accredited college or university in Educational Technology, Learning Technologies, Human-Computer Interaction, or a related field
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Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. Research experience in at least one of the following areas: ● Chip design
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, computer science, electrical engineering, or a related field. 3+ years of experience achieving impactful results including publications using relevant AI/ML/related techniques and genomic data analysis. Background
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agreement (CRADA). Commercialization Support: Business model development with an experienced network of resources aligned to your technology and market opportunity. Curriculum: Tailored training covering
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in experimental physics and superconducting device development, with a focus on advancing multipixel single-photon camera technology and multiplexed readout for quantum information science applications
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computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years of experience achieving impactful results including publications using relevant AI/ML/related