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bioastronautics; (3) space systems, including flight hardware development (including CubeSats) and systems analysis; and (4) spacecraft instrumentation and computing. Individuals who can connect to these areas
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government/military may be an important component in the appointment package. ARLIS seeks research scientists (in the Assistant, Associate, and full ranks) to commit effort on its projects. Exceptional
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Systems Engineering Specialist’s responsibilities include: Conducting systems analysis and research to support ongoing and new projects. Developing comprehensive written reports and briefing materials
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into teaching and creative research\ Strong knowledge of costume rendering, draping, and construction; fabrics and other costume elements of costume craft. Evidence of ability to work collegially. Preferences
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computational infrastructure (e.g., Microsoft Azure) and/or using data analysis tools (e.g., Databricks). Experience managing computational infrastructure to support production-level applications. Experience
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machine learning. We seek candidates who use data as a core element of their research and have a proven track record (for the Associate Professor rank) or a demonstrated interest (for the Assistant
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of Position: The Center for Advanced Transportation Technology (CATT) Laboratory is the industry leader for transportation information analysis, visualization, and user interface design. We provide cutting-edge
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Engineers focus on realizing things (hardware, software), although they also produce and disseminate knowledge. Activities include designing, building, testing, analysis, project management, and serving as a
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faculty research assistants, graduate students, and undergraduate assistants on various problems in robotics and computer vision. Directing and conducting data collection and analysis efforts and evaluating
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sustainability goals at international, national, and/or sub-national levels. Such research approaches may include integrated quantitative analysis and modeling, empirical methods, qualitative and mixed methods