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contribute to the collaborative TQT research community. Principal Investigator: Na Young Kim Project Name: Solid-state analog Optimization Solver and Quantum Machine Learning (Theory) Research Area
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Responsibilities: Set up experiments according to provided protocols or develop protocols; suggest optimizations and recommendations. Maintain records, compile, and file data. Contribute to the design, fabrication
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(e.g., supernatant or plasma). Participates in the development and optimization of multiplexed immunoassay platforms and microfluidic technologies for laboratory-based research Assists with the design
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, in vivo mouse work, and scientific knowledge in immunology and virology. The technician will also be expected to contribute to inventory management, optimizing experimental procedures, and record
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intensity scaling. o Adapt and apply advanced segmentation tools for research purposes. • Software Development & Pipeline Optimization: o Develop, deploy, and maintain software pipelines and tools
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optimization and coordination algorithms for BC Hydro–cVPP interaction and evaluate grid performance through simulated case studies, and analyze service offerings and pricing via case studies and apply social
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genomic approach to profile enhancer dependencies. Develop and optimize experimental workflows integrating scRNA-seq, scATAC-seq, and other single-cell omics. Interpret high-dimensional data in
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the respective groups. Work Performed Design, optimize and perform complex animal techniques, including surgical procedures (both simple and advanced), sample collection and development of new methods Oversee and
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for developed methodology Troubleshooting procedures and optimizing the application of the procedure to a specific project Analyzing results and providing recommendations to supervisor on reasons for variances
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signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis