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of Minnesota, working with Professor Russell Funk. This position focuses on using computational methods to understand how knowledge is produced, shared, and applied across complex systems. About the Project
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building and testing analysis and monitoring software for its upcoming data run in 2027. 70%: Research, divided between Mu2e and Mu2eII. 10% Supervision of graduate students, technicians, and undergraduates
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high-energy physics more generally. Determining which questions to study, determining which theoretical methods are appropriate for answering these questions, and inventing new methods where necessary
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Institutional Review Board (IRB) protocols. ● Design and execute data analysis pipelines using statistical methods and advanced computational tools. ● Translate complex findings into clear data visualizations
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. Methodological skills in one or more of the following areas are preferred: (1) experimental and observational designs; (2) intervention research; (3) quantitative methods; (4) qualitative or mixed-methods; (5
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procedures to engineer, manipulate, and phenotype yeast cells. They will perform molecular, genetic, and microbiology techniques and will be expected to select and adapt methods to meet specific research needs
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outcomes. The individual will be expected to develop stimulation strategies and testing algorithms, write code, and develop software. They will do extensive validation and testing, under the supervision
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, Statistics, Epidemiology, or Computer Science -Highly qualified and motivated investigator (PhD, or MD/PhD) Preferred Qualifications: -Experience in statistical methods and analysis using SAS, R, or STATA. Pay
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reactive balance in these exceptionally resilient individuals. Motivated PhD graduates with a strong background in human systems neuroscience are encouraged to apply. Position Details: Fully funded
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capabilities such as incorporating new sensors and redesigning the hardware and software prototype. This position is a temporary position that will last 30 weeks from the start date. The University of Minnesota