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Position Details Position Information Job Title Student Marketing Assistant Appointment Type Student Employee Job Location Corvallis Position Appointment Percent 100 Appointment Basis 11 Pay Method
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11 Mar 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering » Materials engineering Researcher Profile First Stage
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datasets, spreadsheets, or structured documents. Assist with basic data analysis, such as descriptive statistics, simple comparisons, trend identification, or visualizations under faculty guidance
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. Duties to include: Provide overall support to the Neuroinformatics and Brain Connectivity Lab by assisting senior project members with data analysis, data interpretation, data visualization, and data
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or website link) Recruitment Contact Information: HR 479-788-7080 All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS Please do
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part of the diverse Caltech community. Job Summary This position involves research and evaluation of state-of-the-art algorithms for detecting and classifying safe landing zones using computer vision
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Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary or Regular
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diversity. Women and members of under-represented groups are strongly encouraged to apply. Visit https://www.bard.edu/earlycollege/about/ for more information on our schools. AA/EOE
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
. Responsibilities will include assisting with the lab's data and research pipeline by collecting and cleaning data, performing data management and analysis, creating graphs and figures, visualizing data, assisting
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, training, and/or working with an electronic lab notebook system. Basic knowledge of open-source software and programming languages to extract, organize and clean data, tools to visualize and share findings