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acquisition workflows, and analysis scripts for materials and device performance evaluation. Configure wet-spinning and post-processing equipment for conductive polymer fiber production and device assembly
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. The research staff will develop the fundamental chemistry of p-block elements-based compounds, in particular boron-containing molecules. The research staff will use experimental and analytical skills ranging
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simulations (in both MC and MD) to contribute to our project focused on developing topology-enhanced physical models for biopolymer structure and interaction analysis. Understanding the structure-function
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management. The most important factor for a learning based method to find optimal solution is to have sufficient data. However, publicly available data is often not sufficient. Data argumentation techniques
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protocols and analysis methods for evaluating thermal performance under various conditions. Configure and operate equipment for characterizing optical, thermal, and mechanical properties of textiles
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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of mycobacterial enzymes and large protein complexes. Set up and perform cryo-EM experiments, including data collection, processing, and structural analysis. Provide mentorship to students and junior researchers in
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. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language
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research projects in aquaculture (e.g., health monitoring, yield prediction, system optimization) and/or drug delivery (e.g., predictive modeling, nanocarrier design, therapeutic response analysis). Develop
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, or microbiome analysis is advantageous. Proven record of publications in microbiology, biotechnology, or related applied sciences. Proficiency in relevant laboratory techniques (e.g., microbial culture, imaging