118 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " research jobs at Cornell University in United States
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open data and computational resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects
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integrating data science, engineering, and medicine. Specifically, the mission is to pioneer cutting-edge engineering principles that will fundamentally change the way biomedical data is acquired, computed, and
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of Engineering, the Bowers College of Computing and Information Science, and Cornell Tech at Cornell University. The first cohort recruited for this program started in academic year 2021-2022. This Center aims to
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will be based in New York City (NYC) and report to Tashara M. Leak, PhD, RDN, Associate Professor in the Division of Nutritional Sciences (https://www.human.cornell.edu/people/tml226 ) and Co-Director of
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, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology, management, economics, applied statistics or related
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about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology
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skills include programming, computation, and data analysis. TO APPLY - Click on this link: https://academicjobsonline.org/ajo/jobs/31738 Applicants should submit a CV, a cover letter that includes a
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candidate is expected to engage actively in analysis of CMS data and will have considerable freedom in developing this program. We are also particularly interested in strengthening the group working the CMS
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developing this program. We are also particularly interested in strengthening the group working the CMS Track Trigger or Forward Pixel Detector for the HL-LHC upgrades. A PhD in experimental high energy
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systems-thinking competencies; design formative and summative assessments of systems-thinking skills at the course and program levels; support scaffolding systems-thinking pedagogy across the E&S curriculum