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wants hands-on experience with community-engaged research. Essential Functions Support the design, development, and iterative testing of the block-based web IDE for skyscraper game creation Assist with
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student-athletes participating in the sport of football. Learn, understand, and assist with running safe practices. Review and provide insight into competition strategies and game day decisions. Ensure
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studies, serious games, gamification, interactive media, AI in games, player behaviour, or games for learning and health). • Produce high-quality research outputs, including peer-reviewed journal articles
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++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with game AI agents and/or GUI agents such as Mineflayer, Unity ML-Agents, or similar. Solid expertise in
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multimodal multichannel data (e.g., log files, eye tracking, physiological sensors, facial expressions of emotions, etc.) across different advanced learning technologies (e.g., game-based learning environments
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of professional development opportunities means you will grow and learn, having the chance to participate actively in staff trainings and development projects based on your interests and needs. We work in a hybrid
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the project framework. Designing and conducting reproducible experimental pipelines (including baselines, ablation studies and robustness and out-of-distribution tests), including the use of game-based or game
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As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification
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of professional development opportunities means you will grow and learn, having the chance to participate actively in staff trainings and development projects based on your interests and needs. We work in a hybrid
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with the internationally leading research teams in Cambridge, Sheffield and Exeter. The overall aim is to exploit the game-changing concept of population-based structural health monitoring where