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Field
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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, and optimize multimaterial LPBF processes, integrating in-situ monitoring, process parameters, material combinations, and resulting microstructural and structural outcomes. Design and optimize
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of efficient AI-for-Science systems, leveraging foundation models (including small language models) and parameter-efficient adaptation techniques such as LoRA, grounded in a strong understanding of optimization
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evaluation, and AIoT implementation. Key Responsibilities: Writing, debugging, optimizing and testing of source code with an emphasis on audio applications Maintenance and improvement of existing audio
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: Design, perform, and optimize experiments with scientific rigor; Collect, analyze, and interpret experimental data; Communicate findings clearly through technical reports, papers, and presentations; Work
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-sensing concrete. Lab test and analysis of self-sensing concrete. Optimize and evaluate the performance for field trials. Publish several papers in top journals. Write proposals for further development
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. Analyze and interpret data to make informed recommendations for costal protection system design and optimization Writing and publication of results in peer-reviewed journals Assist in securing external
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heterogeneity of their environments. For more details, please view https://idmxs.org/ . Key Responsibilities: Design, prototype, and optimize passive microfluidic cartridges integrating plasma-separation
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topology optimization, generative design, and bioinspired design, SC3DP creates optimized products using a variety of novel materials and printing processes, including hybrid printing, post-processing, and
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, photoelectric processes, recombination pathways, and electrostatic device behaviour to guide experiments and optimize device performance. • Team collaboration and mentorship: Work closely with PhD students