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Job Description The Virginia Tech Center for Ecosystem Forecasting is recruiting a Research Scientist with a Ph.D. in Environmental Science, Quantitative Ecology, Ecological Statistics, Natural
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issues independent of device or operating system. Must have knowledge of Crestron systems and advanced knowledge of Windows OS and Apple Mac OS. Diverse experience in audio-visual equipment such as video
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(FMG). The PhD track is part of the Amsterdam Institute for Social Science Research (AISSR), and these three positions are embedded in the programme group Moving Matters: People, Goods, Power and Ideas
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for Health Access as the Director of Data Science, Machine Learning and AI and be responsible for the research, design, development, and maintenance of advanced software systems that contribute to clinical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, dynamical systems, and scientific computation. Ideal experimentalists will have strong skills in experimental fluid mechanics, including laboratory design, high-speed imaging, flow visualization, and
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, and ambitious researcher committed to accelerating the green transition by advancing adaptive materials, predictive modelling, and autonomous maintenance solutions. You thrive on scientific discovery
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organizational skill. Proficiency with word processing, database and spreadsheet applications. Preferred Skills, Knowledge and Abilities: Familiarity with scheduling software, event management, audio-visual
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/38780 Job Number SE166624 Position Information Department or Unit Name SE- Campus Center
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a willingness to acquire advanced knowledge of Excel, Google Applications, database management, data visualizations, reporting, and information management. Familiarity with AI and strong commitment
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the coupled response of the tunnel and surrounding soil. Conventional techniques—such as visual inspection, strain gauges, and convergence measurements—often fail to detect distributed or deep-seated defects