66 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs in United States
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10. Four years or more of full-time hands-on experience in the maintenance and operation of commercial, industrial, institutional facility, computer applications of digital energy platforms and
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Engineering, Electrical or Marine Engineering; Or 10. Four years or more of full-time hands-on experience in the maintenance and operation of commercial, industrial, institutional facility, computer
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system. Proficiency required in computer systems and programs such as Microsoft Word & Excel. Proficient in laboratory information systems, discipline-specific middleware, as well as all institution-based
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are currently recruiting candidates with expertise in data science, machine learning, computational or systems biology, and/or bioinformatics, with interest in applying computational methods in the context of all
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Tenure-Track Faculty Position Massachusetts Institute of Technology (MIT) Department of Biological Engineering + IDSS The Department of Biological Engineering (BE) and the Institute for Data
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, the Institute of Data Science, the Global Cyber Research Institute, the Cybersecurity Center, and the Bush Combat Development Complex. Our student population comprises over 1,700 undergraduate students
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-scientific-discovery/ for more information on the VISS.) The SSEC will be hosted by the Institute of Data Intensive Engineering and Science (IDIES) at JHU within DSAI, a new pan-institutional initiative
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. The Data Analytics Developer supports the Chief Data Officer and assists in the ongoing development, maintenance, and implementation of UNG's institutional analytic data architecture - including
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Massachusetts Institute of Technology, Institute for Data, Systems, and Society Position ID: MIT-IDSS-AP [#31168] Position Title: Position Type: Tenured/Tenure-track faculty Position Location
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improvement initiatives. Collaborates with University leaders and the Enterprise Data team to support institution-wide data projects that inform strategic planning and enhance the student experience, with