113 postdoc-computational-fluid-dynamics positions at Rochester Institute of Technology
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the RID/NAD Code of Professional Conduct and utilize additional resources/support as appropriate. Competence using word processing, email, and electronic calendaring software, computer competence supporting
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machine learning, computational and data science. Candidates must possess a robust track record of research in fundamental AI and data science. We are particularly interested in individuals who have
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technologies that allows the organization to most effectively achieve their mission within the university. Required Qualifications Education/Experience: Bachelor's degree in Computer Science or equivalent 1-5
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, staff and other RIT constituents to establish content partners for website, plus department and program materials. Implements a regular audit schedule ensuring content for all materials are audited on a
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and colleagues) Excellent customer service skills Excellent verbal and written communication skills Intermediate sign language skills or a willingness to learn Advanced computer skills Organizational
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that complement the existing research groups at RIT, including those in astrophysics, climate science, biology, software development, statistical machine learning, computational and data science. Candidates must
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experience Skills: High degree of computer literacy; interest and aptitude in learning more about management information systems Travel required; some evenings and weekends required Ability to manage complex
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Statistics Faculty Type (Tenure Status): Tenure-Track Faculty Discipline: Applied Mathematics, Applied Statistics, Computational Mathematics Faculty Rank: Assistant Professor Employment Category: Fulltime
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. Comfortable working in setting with diverse populations and modes of communication Accustomed to working with computers and new technology Ability to work independently under moderate supervision Preferred
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finance, accounting or related field. Bachelor’s degree in business, finance, accounting or related program ideal. Required Minimum Education Level Bachelors or Equivalent Experience Work Location Hybrid