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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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genes for disease resistance using forward and revere genetic tools. This position is available for one year with subsequent years contingent upon funding and performance. Highly motivated and
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communities we serve. Flexible work arrangements may include flexibility in schedule and/or work location. Please note that 100% remote work requires approval prior to offer. Responsibilities Research and
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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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-doctoral associates are University of Minnesota employees. They are receiving additional training while also performing services for the University, for which they are compensated. Note: These are not
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to their research. Ideal candidates will be expected to employ state-of-the-art computational tools to analyze phylogenetic, metagenomic and multi-omics data sets generated from different clinical trials. Applicants
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on soil fertility, nitrogen fertilizer best management practices (BMPs), and alternative management tools for sustainable crop production that are protective of the environment - Collaborate on existing
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and manipulation of synaptic function, including novel multiphoton imaging, optogenetic, and computational tools. We are looking for a highly motivated individual with a strong background in cellular
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cellular tools (e.g., gene knockdown, qPCR) to dissect cell death sensing pathways • Perform retinal functional assessments (e.g., ERG) and gene expression analysis in RPE and photoreceptors • Perform high
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While our salary ranges provide a framework, it is important to note that most of the time, the initial pay may not reach the maximum of the range. This approach ensures that compensation reflects