20 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at The University of Arizona
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/epitranscriptomics sequencing techniques e.g. ChIP-Seq, MeRIP-seq, and CLIP-seq genomics or bioinformatics gene-editing techniques including CRISPR FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per
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following areas: stem cell biology/chemical biology epigenetics/epitranscriptomics sequencing techniques e.g. ChIP-Seq, MeRIP-seq, and CLIP-seq genomics or bioinformatics gene-editing techniques including
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Preference will be given to candidates with one or more of the following: Experience with ELISAs, immunology, bioinformatics, microscopy. Experience working in Latin America. FLSA Exempt Full Time/Part Time
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models. • Bioinformatic analysis, R programming. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0 Work Calendar Fiscal Job Category Research Benefits Eligible Yes
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validation to improve understanding and prediction of subsurface processes. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU
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School of Natural Resources and the Environment at the University of Arizona seeks a Postdoctoral researcher to contribute to our project to understand the plant, microbial, and abiotic processes
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chamber development, and (3) field studies in mining environments. Perform advanced sample analysis, validate measurements, and document findings. Process and analyze research data to generate meaningful
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characterization, (2) environmental chamber development, and (3) field studies in mining environments. Perform advanced sample analysis, validate measurements, and document findings. Process and analyze research
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attend mandatory lab meetings. Perform assigned lab duties to assist in the maintenance of stock reagents or the general operation of the lab, and various other duties or projects as assigned. Minimum
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making, and how internal state and environmental structure shape their functional operation. To address these questions, we use an observational and causal approach, combining monitoring and decoding