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the methodologies of dissemination of research results both at individual and aggregate level and their impact on researchers. Where to apply Website https://web.uniroma1.it/trasparenza/bando/242888_1/2026
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Institute for Computer Science, Artificial Intelligence and Technology Position ID: INSAIT-TTROBOTLEARNING [#31280] Position Title: Position Type: Tenured/Tenure-track faculty Position Location
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Lecturer SCSD 680: Course Lecturer DEADLINE TO APPLY IS FEBRUARY 15, 2026 For details job descriptions and information regarding TQRs, please visit: https://www.mcgill.ca/scsd/about/job-postings HOW TO APPLY
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. Application Materials: Cover Letter & CV Teaching Statement Community Impact Statement (https://offices.vassar.edu/dean-of-the-faculty/positions/community-impact-statement/ ) Graduate School Transcripts
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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evaluation frameworks to measure program outcomes and impact across multiple domains, including service delivery, clinical outcomes, and cost-effectiveness. Collaborates extensively with the Operations
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algorithms for behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing. Responsibilities: Write code and develop novel
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 22 days ago
/Administrative Internal Number: 25412 PROGRAM OFFICER, GLOBAL PROGRAMS, MIT Solve, play a crucial role in implementing MIT Solve's open innovation Challenges across our impact areas. This position executes
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services and continually evaluates program effectiveness to ensure quality and impact. Supervises program staff and oversees daily operations of the unit, including hiring, training, supervision, and
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entropy or Kullback-Leibler divergence vs. measurement time Analysis and documentation of the results Your Profile: Excellent academic performance in a master’s program in electrical engineering, materials