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position is for School of Computing and Information Systems (SCIS). Design cryptographic algorithms with research fellow/PI and check security proof. Implement the designed zero-knowledge proof and MPC
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learning, physical AI, and spatial AI. The RA will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision
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with algorithm software development and user interface design. Key Responsibilities: Collect relevant traffic data from several resources, working with industrial collaborators. Carry out necessary data analytics
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Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve problems in areas like NLP, Computer Vision, or on tabular data
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converter control, and energy systems. Design, model, simulate, implement, and experimentally validate power electronic converter systems and associated control algorithms. Develop and evaluate advanced
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experience applying algorithms to solve problems in areas like NLP, Computer Vision, or on tabular data. Generative AI & LLMs: Hands-on experience developing LLM-powered applications, including Prompt
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actuators, sensors, and multifunctional fluidic components • Develop novel fluidic computation frameworks for programmable behaviours, sequential control, distributed intelligence, and autonomous decision
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new quantum algorithmic solutions based on Riemannian geometry. With whom? With Prof. Marek Gluza at NTU Singapore who is eager to debate with you whether double-bracket quantum algorithms or a
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team members from thermal, fluid and material engineering background to setup sensors and prototype the device. • Setup PID for fans and pumps to respond for changes and optimize electric power
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. Experience with imaging systems, sensors, system integration, experimental testing, or measurement systems will be advantageous. Familiarity with image processing, computer vision, Python, MATLAB, C++, LabVIEW