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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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compliance and increasing patient referrals while optimizing financial return to the department. This position will be responsible for assisting with the overall planning, direction, supervision, and
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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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Requirements PhD in Engineering field (Aerospace, Mechanical, or Electrical) or Science field (Computer Science or Applied Mathematics) with research focus on one or more of the following: dynamics and control
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to identifying, testing and implementing effective integrative clinical research protocols and optimizing wellness during pre- and post-active treatment phases and secondary prevention via integrative/lifestyle
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quaternary consultative and procedural needs of the region. Develop a roadmap to expand clinical and basic science research in the division. Develop a plan for the optimal utilization of Advanced Practice
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a local, national, and international leader in the field. Dissemination and implementation research to determine optimal approaches to ensure research evidence is translated into community settings