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Field
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teams to develop and integrate AI-based digital design solutions into existing and new software systems Analyze and assess current digital design flows, libraries, and system architectures to identify
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learning, dynamical systems, sequence generative models and world modelling. Emphasis will be on methods that design and implement new architectures for latent dynamic modelling to enable identification
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://www.ntu.edu.sg/cceb) The Huiling Shao (Asst Prof) research group aims toward computational design of new organometallic catalysts and peptide drugs via: 1. Comprehensive mechanism elucidation via
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antimicrobial resistance and bioinformatics. The RF will work on a project aiming to profile antimicrobial resistance and bacterial communities. Key Responsibilities: Conduct rigorous study design. Perform in
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for intelligent devices. Job Responsibilities Develop monitoring methods to detect malicious skill execution and unsafe or misaligned agent behaviour. Design experiments and prototypes to evaluate agent safety
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capability to conduct innovative research. The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry. Demonstrated ability to formulate hypothesis and design
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to conduct innovative research. The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry. Demonstrated ability to formulate hypothesis and design effective
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agents for data analysis, and the design of interactive systems that keep human analysts in control of AI-assisted sensemaking. Responsibilities Conduct research on agentic visualization: generative AI
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Systems Lab (https://psl-ntu.github.io ) at NTU’s CCDS. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi-agent HPC-AI workflows. Responsibilities
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://www.ntu.edu.sg/cceb) The Huiling Shao (Asst Prof) research group aims toward computational design of new organometallic catalysts and peptide drugs via: 1. Comprehensive mechanism elucidation via