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Associate to join the Parallel 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
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of interaction, covering linear, parallel, multithreaded, branched and non-linear narrative structures, and the balance between interactivity and narration within a project. Students examine nonlinear digital
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development skills; distributed or parallel computing is a plus. Experience designing and executing field experiments in urban or environmental settings, with willingness to engage in fieldwork in dense urban
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reliable, efficient, and responsive to project and stakeholder needs. In parallel, the candidate will provide behavioral, communications and social science research support for strategic healthcare AI
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reliable, efficient, and responsive to project and stakeholder needs. In parallel, the candidate will provide data science and AI/ML modelling support for strategic healthcare AI projects, including clinical
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parallel, work to firm deadlines, and follow through on external dependencies. Meticulous, detail-oriented approach to record-keeping and documentation. Ability to work independently, take initiative and