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Salary Range: $$60,000 – $75,000 Benefits Information: https://www.luc.edu/hr/benefits/ The Stritch School of Medicine at Loyola University Chicago invites nominations and applications for a Research
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employees remain current with training and development technology, including multi-media training delivery systems, but not limited to micro videos, podcasts, augmented reality/virtual reality (ARNR). Job
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UnitedKingdomTime (posted 2025/10/15 05:00 AM UnitedKingdomTime) Position Description: Apply Position Description The School of Interactive Computing (https://ic.gatech.edu/ ) at the Georgia Institute of Technology
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field. Key Responsibilities: The Research Fellow will pursue scientific research broadly on topological quantum materials at QuantumX Labs, the research group of Prof. Ilya Belopolski, https
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computer programs, e.g. Revit, CAD, Adobe Creative Cloud, 3DS Max, 20/20, CED Designer, Enscape, virtual reality/augmented reality. Proposed Salary Commensurate with experience. This is an exempt position
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course assignments. The ideal candidate will have experience teaching lecture, laboratory, and clinical courses, as well as experience in utilizing the virtual environment, such as Canvas LMS, to augment
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atribuição de 1 (uma) Bolsa de Investigação (BI) no âmbito do projeto/unidade de I&D Edu4HEALTH - "New Challenges in Education for Health and Well-being, a research and training project with Augmented Reality
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
to enforce conservation laws, boundary conditions, and dimensional consistency, ensuring interpretability and scientific rigor. The resulting system will function as a scientific co-pilot, augmenting
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Reference Number AE2026-0030 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0030.pdf CALL FOR
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, and Linux/command line • Familiarity with LLM in-context learning and prompt engineering • Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented generation