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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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are required. Experience in python, Fortran, C++ and parallel computing are a plus. 3. Good publication record in peer-reviewed journals for fluid mechanics. 4. A Ph.D. degree in relevant
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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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framework for immersive 3D virtual environments, such as Roblox and Minecraft. The engineer will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal
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cell lysis, restricting analysis to single timepoints and necessitating parallel samples. This prevents temporal tracking in the same cells and poses challenges for scarce primary samples. The use
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, the institute undertakes multiple projects in parallel, and opportunities will exist to participate in a variety of workstreams that align with your interests.
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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