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requirements are met for a multi-faceted training program. This role will also involve collaborating closely with other supervisors within the MNCWTA to support the organization’s overall mission of equipping
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scales, to integrate data science, bioinformatics, computational modeling, and machine learning, and help create sustainable solutions to improve decision-making. Areas of research may include quantifying
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solution-focused methods that attend to the developmental, identity-related, learning and mental health concerns of students. UMR is committed to fostering a community of wellbeing and providing services
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shared equipment. - Maintain inventory and consumables for related services. 4) Client Correspondence & Troubleshooting - 5% - Assist clients with locating orders, samples, and data through various methods
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microarray and rt-qPCR and ddPCR methods, including Illumina's microarray catalog of kits and instrumentation (Tecan/Viaflow). Has performed rt-qPCR on Bio-Rad or QuantStudio, or equivalent technology
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: Financial Administration and Analysis - International Programs and Services 50% ● Reconcile program budgets, procurement cards, and travel cards; resolving issues as they arise ● Request set-up of US and
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, to evaluate the potential population count and distribution of beavers. - Use/develop appropriate computer modeling and remote sensing techniques to estimate vegetation greenness, burn severity, and total water
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Computer Science or closely related field plus 4 years’ experience working in the security analyst field, or, Bachelor’s in Computer Science or closely related field plus 6 years’ experience working in the security
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of the University of Minnesota School of Dentistry, and to attend the Annual Outreach Dental Review to stay up to date with the SOD policies, teaching methods, and best practices. Physical teaching location depends
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Develop methods for database development and management Organize, clean and score data Interpret results with regard to study goals and hypotheses Troubleshoot and problem solve data management issues as