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or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning
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deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data
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comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run numerical simulations on NYUAD’s High-Performance Computing (HPC) system. Support
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Engineering to educate the next generation of global leaders. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission
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Previous Job Job Title Engineering Technician Next Job Apply for Job Job ID 371727 Location Twin Cities Job Family LR-Technical Full/Part Time Part-Time Regular/Temporary Regular Job Code 4961
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Polytechnique de Paris. The group conducts research at the intersection of statistical learning, machine learning, and data science, with a strong focus on structured data, representation learning, and
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new programming languages, libraries and technologies. Any prior experience working with frontend/backend web development, machine learning, or high performance computing would be desirable, as would
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at Embry-Riddle Aeronautical University in Prescott, Arizona, invites applications for a faculty position in our Aerospace, Electrical, Computer, Software, or Mechanical Engineering Departments
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the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/nyugreen. NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in
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computer science, computer information systems, information technology, electronic engineering, ora related field. Six years of related experience with computer systems and applications. Additional education may