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the optimization of High- Throughput RNASeq capabilties. The successful candidate will help design and execute next- generation RNASeq experiments with the goal of significantly reducing the cost and increasing
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project staff with extensive understanding of the optimal functioning of imaging management and its critical role in a study or trial involving imaging. The UC Imaging Management Center has a long-standing
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technologists, and program and project staff with extensive understanding of the optimal functioning of imaging management and its critical role in a study or trial involving imaging. The UC Imaging Management
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techniques. The research will integrate ab initio-based modeling and DFT calculations with experimental data to enhance the understanding and optimization of the proposed materials as sorbents or possible
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, adaptive and nonlinear control, autonomous systems, bio-inspired robotics and UAVs. Additional Qualifications Considered Demonstrated research expertise in dynamics, control, and trajectory optimization
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), Isolation of NK and T-cells from blood, Optimize and perform in vitro immune assays, Flow cytometry, DNA isolation and cloning techniques, including PCR, Gene editing of cell lines and primary cells with