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2028 Why The Role Matters: UNSW is looking to fill x2 Gifted Education Facilitator positions. These roles play a key part within the Faculty of Arts, Design, & Architecture in supporting the success
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California State University, San Bernardino | San Bernardino, California | United States | 3 days ago
third-party applications with PeopleSoft Student Information System. This position will also contribute to the oversight of campuswide and CSU-wide data architecture maintenance and systems integration
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14 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Biomedical engineering Medical sciences » Other Researcher Profile First Stage
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ecosystems. The research may include: distributed and federated learning across edge-cloud continuum, AI-driven network management and orchestration, collaborative intelligence across compute continuum, and
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departments: Architecture Communication Design Computer Engineering Technology Computer Systems Technology Construction Management / Civil Engineering Technology Electrical and Telecommunications Engineering
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project Context The Metasurface Team
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25 Mar 2026 Job Information Organisation/Company Instituto Politécnico de Setúbal Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions Master Positions
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Construction Management, computing, and technology. Candidates are expected to have a Master's degree in Architecture or related field. Interested candidates should apply online by searching for the opportunity
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Primary Division/College College of Art & Architecture Primary Unit Art & Design Employee Category Faculty Classification Group Title Regular Faculty Position Control Number 4851 Suffix 00 Contingency Code
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models and transformer-based architectures to construct high-dimensional design spaces. These models are integrated with Deep Reinforcement Learning (DRL) for fine-tuning or end-to-end learning, enabling