68 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" Undergraduate scholarships
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participation in STEM degrees. Scholarship details Study levels Undergraduate Student type Future students Study area Building and planning, Data science, Engineering, Games and interactive environments
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Team hide_location Phone 3138 7624 Int. phone +61 7 3138 7624 Email [email protected] Website https://www.qut.edu.au/scholarships Postal address Queensland University of Technology GPO Box 2434
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directions, and one addressing demonstrated ability to mentor a diverse student body (e) three letters of recommendations (f) writing sample 20pp. Please apply through https://academicjobsonline.org/ajo
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affiliations with programs in Biology, Psychological & Brain Sciences, and other units. Please submit a cover letter, curriculum vitae and statement of teaching philosophy to https
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Dalhousie University | Halifax Mid-Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
Accommodation Policy can be viewed here . Posting Detail Information Term of appointment Sept - Dec 2026 Open Date 08/11/2026 Close Date 08/23/2026 Open Until Filled Quick Link for Direct Access to Posting https://dal.peopleadmin.ca/postings/21362
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group does, check out the following link: https://www.nlr.gov/grid/distributed-energy-resource-management-systems . Basic Qualifications Minimum of a 3.0 cumulative grade point average. Undergraduate
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to your application. Reference requirements 1 required (contact information only) Apply link: https://aprecruit.ucmerced.edu/JPF02172 Help contact: [email protected] About UC Merced As a
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-reported data. While informative, self-reported data can be susceptible to bias, poor memory, and incorrect self-assessment. This project will complement this self-reported measurement of feedback
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Primary supervisor Guanliang Chen Research area Data Science and Artificial Intelligence As education systems increasingly adopt AI to support teaching and learning, the automation of assessment and
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Primary supervisor Guanliang Chen Research area Data Science and Artificial Intelligence As education systems increasingly adopt AI to support teaching and learning, the automation of assessment and