820 data "https:" "https:" "https:" "https:" "ASNR" positions at University of Minnesota
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and as a member of a team. Candidates must be willing to travel to field sites in northern Minnesota. • 60%) Measure plant growth, physiology, and phenology • (20%) Lab work includes data entry, biomass
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billing for internal customers, and maintaining customer data within the WDS system to ensure accurate charge direction. In addition to managing procurement requests, the position serves as a primary fiscal
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: 100% Appointment Position Type: Faculty and P&A Staff Please visit the Office of Human Resources website for more information regarding benefit eligibility. The University offers a comprehensive
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%- Analyze experimental data, report research results and write research papers. 10%- Write research fellowship and grants for funding; attend and report at academic conferences. 10%- Train undergraduate
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visit the Office of Human Resources website for more information regarding benefit eligibility. The University offers a comprehensive benefits package that includes: Competitive wages, paid holidays
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. Specifically, we are seeking those interested in work on production, real-time software, participating in our analysis of ground-based telescope and gravitational-wave data to study multi-messenger, transient
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collections, intellectual property rights, and copyright information while advocating for sustainable models for scholarly communication and information sharing. We work collaboratively with Libraries staff
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meticulously detailed records of all experiments and procedures in a laboratory notebook; perform statistical analyses of data obtained from experiments and render interpretations of the data. Operations - 10
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to contribute to ongoing avian ecology research projects in Minnesota. The successful applicant will primarily support field-based data collection focused on bird populations and their habitats. This position
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extraction, cytokine ELISAs, quantitative RT-PCR, and basic epigenetic assays (e.g., histone-modification profiling). Prepare samples for transcriptomics (RNA-seq) and data interpretation. In vivo and BSL-2/3