739 parallel-computing-numerical-methods positions at Cornell University in United States
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Two Faculty Positions Available in the Department of Statistics and Data Science, Cornell University
mathematical statistics, computational statistics, and machine learning to the development of statistical methods for astrophysics, ecology, economics, epidemiology, financial modeling, genomics, high
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Labor Relations (ILR). Specializations in the department range from mathematical statistics, computational statistics, and machine learning to the development of statistical methods for astrophysics
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to expand our efforts in areas that include, but are not limited to: · Systems engineering modeling, analysis and quantitative methods · Digital engineering, computational model-based systems
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centers, the Macaulay Library, and pursue an interdisciplinary research program using the analysis of large datasets of digital media. Research areas may include, but are not limited to, animal behavior
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. Maintain communication with the CALS Admissions staff. Be receptive to guidance and feedback from CALS Admissions staff. All applications are read online. Candidates must have a recent computer (preferably
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research methods, we deliver our findings directly to communities, families, and policy makers, ensuring that our work reaches those who need it most. CHE is one of four contract colleges at Cornell
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research, teaching, and leadership skills. Candidates must possess excellent communication and interpersonal skills to work effectively in our team, as well as a willingness to learn new methods and
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channels using traditional methods and educational tools, as well as electronic technology (e.g., video, audio, computers, etc.). • Ability to effectively participate in professional team efforts
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interactions with clientele, staff, volunteers, and the public. Required Qualifications: Associate’s Degree or Equivalent Education (High School Diploma/GED and one (1) year transferrable program/functional
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research advances and methods. Excellent organizational skills with the ability to prioritize multiple projects. Compile and analyze research data, and document project results in manuscript form