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collaboration with industrial and public-sector partners. We expect the candidate to publish in competitive machine learning, software engineering and security venues, such as Neurips, ICML, ICLR, ICSE, FSE, ASE
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Title: Executive Director, Experiential Learning & Career Success Employee Classification: Exec Dir, EL & Career Success Campus: University of North Texas - Dallas Division: DAL-Academic Aff & Stdnt
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Working Title: Peer Learning Assistant - IE State Role Title: Institutional Employment/Federal Work Study Position Type: Institutional Employment Position Status: Part-Time FLSA Status: Non-Exempt
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The National Institute of Education invites suitable applications for the position of Research Assistant on a 24-month contract at the Learning Sciences and Assessment Department . Project Title
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 2 months ago
Learning commencing on April 1st, 2027. The Junior Professorship in "Probabilistic Methods in Machine Learning" is at the interface of applied mathematics, statistics, and computer science. It is dedicated
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Apply now Job no:542953 Work type:Full Time Location:Sydney, NSW Categories:Administration Work Integrated Learning Officer (Faculty of Medicine & Health) Employment Type: Full - time (35 hours a
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community of learners, teachers, and employees who are passionate about changing the world through education and striving for maximum impact in the field of education. The Professional Learning Manager
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coordinating experiential learning opportunities that help students connect their education to meaningful career pathways. Ensures high-impact programs and initiatives are executed effectively, supporting Dallas
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and ability to contribute to process improvements Experience in higher education, and/or familiarity with Work Integrated Learning (WIL) and placement systems such as InPlace or Sonia, would be highly
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Hey machine learning enthusiast with a love for physics and