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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
experiments, optimize protocols, document procedures and results, collate and analyze data, and communicate results and conclusions in written and oral formats. They will have the opportunity to train and
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data integration from multiple omics platforms will be considered a plus. The candidate will be expected to independently design and execute experiments, develop or optimize immunological and molecular
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tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
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focuses on the development, synthesis, characterization, and optimization of advanced cathode materials for next-generation Lithium-ion batteries. The successful candidate will contribute to fundamental
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. This position focuses on the design, synthesis, characterization, and optimization of advanced cathode materials for next-generation Na-ion batteries. The successful candidate will contribute to fundamental
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to translate this knowledge into innovative, optimized vaccine candidates (PMIDs: 35015104, 34990590, 33323394, 30439392; patent: WO2024003343A1). About the Project: You will contribute to a project
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optimization and ODE-based modeling Strong communication skills to interface with experts within the ATN, document the software and publish the results in the peer-reviewed literature Instructions Applicants
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for experimental applications Develop and optimize protein-based reporters Design and refine protocols for in vivo gene and mRNA delivery Perform imaging and histological analysis of experimental samples Quantify
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optimize the synthetic genome that encodes for a biological function such as shape manipulation. Next to all this, the candidate will also do research on entropic segregation of synthetic genomes by testing
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models, with a strategic trajectory toward integrating proton-based FLASH capabilities. The successful candidate will play a key role in the delivery, optimization, and evaluation of FLASH RT, working