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to work on the design of novel nucleic acid delivery technologies for ex vivo/in vivo CAR-T cell engineering. The postdoc will assist in the development, optimization, characterization and (ex vivo/in vivo
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spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational methods to discover unknown metabolites that have strong associations to experimental
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systems to communication solutions and biomedical engineering. The Electrical Machines and Power Electronics unit conducts research and education in electrical machines, power electronics, drive systems
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related
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Qualifications Requires a PhD degree. Applicants should have excellent scientific communication skills, a strong publication record, and demonstrated ability to work both independently and collaboratively
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to Submit Application Materials: Interested candidates should submit a single combined PDF that includes (1) a letter of interest with a brief summary of previous research experience (~1 page), (2) a current
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publish research findings in peer-reviewed high-impact journals. Required Qualifications A postdoctoral research associate requires a PhD in Electrical Engineering, Physics, Materials Science and
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collaborations with U.S. national institutes and other academic partners. Minimum Qualifications Has, or will have by start date of the position, a Doctorate degree in Electrical and Computer Engineering or
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publish research findings in peer-reviewed high-impact journals. Required Qualifications A postdoctoral research associate requires a PhD degree in Electrical Engineering, Physics, Materials Science and
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Experience PhD degree required. Consideration to interview will also be given to applicants who are in the process of completing their PhD degree. Documentation of PhD degree completion must be provided prior