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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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fundamental engineering. Required Education PhD Degree in Engineering (Chemical, Mechanical, Biomechanical, Materials Science), Physics, or Chemistry or closely related field required. Required Experience
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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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