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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
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learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work Where to apply Website https
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within and external to the university. Self-directed learner who believes in continuous learning and development Highly proficient in technical writing and presentation Strong analytical and critical
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their academic and professional development. Collaborate with colleagues on interdisciplinary projects and initiatives. Participate in departmental meetings and contribute to the continuous improvement
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development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D
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). Basic experience handling and processing sensor data (e.g., camera, thermal, LiDAR, RADAR, or similar perception sensors) in real-world or laboratory settings. Familiarity with Linux-based development
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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, flow diagrams, storyboards, site maps, and prototypes. Support the design and development of physical products from early concept through to final production Present designs to customers, develop and
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is to contribute to the design, development, and deployment of an advanced content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play
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and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking