195 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" research jobs
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, the participant will learn HPC computing technologies and techniques in genomic epidemiology and machine learning to quantify drivers of IAV evolution in swine using data generated from IAV surveillance in human
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Responsibilities Salary Range: $80,000 – $100,000 Benefits Information: https://www.luc.edu/hr/benefits/ We are seeking a highly motivated data scientist to join our group, which has been supported by federal funds
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Organization U.S. Department of Defense (DOD) Reference Code AFRL-711HPW-2026-0001 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Air Force
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. Proficiency in programming languages for data analysis (e.g., Python, R) and experience with machine learning, statistical modeling, and wearable sensor data analysis is desirable. We expect you to be able
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related discipline. Proficiency in programming languages for data analysis (e.g., Python, R) and experience with machine learning, statistical modeling, and wearable sensor data analysis is desirable. We
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accounts & wellness programs Professional development & mentorship opportunities To learn more about why UC is a great place to work, please visit our careers page at https://www.uc.edu/careers.html UC is an
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). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis, computational social science, and/or machine learning applications. Acquisition, processing, and analysis
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. The mission is to address challenges facing scalable quantum computing and to develop novel and improved platforms for quantum computation and communication and thus strengthen U.S. leadership in QIST
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the nation's top 10 public universities by U.S. News & World Report. The campus has produced five Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. Led
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of faculty supervisor, develop novel techniques incorporating machine learning in particle physics event generators. Contribute to the development of machine learning driven techniques in the Pythia 8 event