432 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at Carnegie Mellon University
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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experience in documentary filmmaking. Interested candidates should send a resume and the names and contact information for at least three referees. Carnegie Mellon University is an equal opportunity employer
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protocols and procedures including appropriate collection, recording, storage, and analysis of data, and reporting of results. Follow appropriate research policies and procedures and maintains scientific
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Temporary Data Engineer (with Apache Airflow 2.0 and 3.0 experience) - Temporary Employment Services
-on training and experience Competitive benefits Opportunities for long-term career growth Carnegie Mellon University's Temporary Employment Services (TES) is seeking a Temporary Data Engineer with Apache
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project tasks according to defined protocols and procedures including appropriate collection, recording, storage, and analysis of data, and reporting of results. Follow appropriate research policies and
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-being. We have excellent retirement and healthcare options, as well as tuition remission for employees and dependents. Learn more at https://www.cmu.edu/jobs/benefits-at-a-glance. Come join an institution
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, please submit with your application online through Interfolio. Cover Letter Curriculum Vitae Contact information for three academic or professional references Review of applications will begin immediately
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spectrometry, including instrument operation, troubleshooting, and data analysis, are required. Experience with LC-HRMS and/or GC-HRMS are preferred. Other desired skills include experience with independent
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, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore