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organizational and documentation skills Working knowledge of Microsoft Office (Word and Excel) Excellent written communication Technically capable with ability to quickly become familiar with hardware, software
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, with potential to renew for a second year. Minimum Requirements • MA/Ph.D./MFA/MArch in art history, studio art, architecture, and design, or a program with a relevant visual art component. Professional
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, Institute for a Secure and Sustainable Environment, the Tickle College of Engineering, the School of Architecture, the UT Institute of Agriculture, and current and future partners. As a UT-ORII research
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analysis Evidence of ability to contribute to interpretation and write up of research findings for academic and policy audiences Research Associate Essential criteria PhD qualified in relevant subject area
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-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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for PhD Students; and up to $20,000 for Postdoctoral Fellows. The award may be used for travel or other research-related expenses; and An opportunity to be mentored by an experienced researcher in a
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the sponsoring agency. Basic Qualifications: PhD degree and 8 years relevant postgraduate experience or a MS degree with 12 years postgraduate experience in electrical engineering or closely related engineering or
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ability to work independently and in a team environment Demonstrated ability to meet deadlines Discretion, tact and confidentiality Technical proficiency using various word processing software, spreadsheet
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Assistantship program. If hired, you will play a key role in the CCS’s partnership with the University of Oxford on the Quill Project, a cutting-edge software platform that generates interactive digital models