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for the purpose of lung-directed gene. The research addresses several important drawbacks in AAV-based gene therapy such as vector efficiency to transduce lung epithelial and basal cells, pre-existing and therapy
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project that aims to develop new tools to gauge retinal health and disease using next-generation CRISPR-based tools. The ideal candidate who fills this position will have a consistent track record of
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year depending on satisfactory performance and funding availability. Starting Date: Negotiable. Position will remain open until filled. Annual Salary: Based on NIH NRSA postdoctoral stipend levels
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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advance X-ray investigations of solar flares. Work entails both hardware-based and analysis-based studies of solar hard X-rays. Instrumentation work includes testing of X-ray detectors and telescope
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DeComposition or other similar process based crop and soil models Preferred Qualifications Post-doctoral experience related to soil carbon science and accounting and a demonstrated ability to independently lead
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, immunofluorescence, PCR, qPCR, cell-based assays, fluorescence calcium imaging. • Perform data acquisition and analysis, grant and manuscript preparation, and presentation of findings at weekly lab meetings
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should be open to learning new techniques and have a strong interest in using next-generation sequencing-based techniques to study virus-host interactions. Specifically, Individuals will perform epigenetic
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specific areas identified for professional growth, relevant to the project work scope. This position is based on campus. Per UMN policy, work may be done remotely when appropriate and approved by your
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analyzing precision agriculture trials integrating UAV, multispectral, and hyperspectral imagery, and ground-based sensor data - A proven ability to develop and maintain effective working relationships and