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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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to identify pathways within complex metabolic networks that can be used for early identification of disease or targeted to prevent or treat metabolic diseases. To accomplish this aim, studies combine the use
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presence of complex landscape elements (lakes, forests, and wetlands) that typify the upper Midwest, this project will be focused on the Marcell Experimental Forest (MEF) in north, central Minnesota. The MEF
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(These examples do not include all possible tasks in this work and do not limit the assignment of related tasks.) 90% Research and data analysis: Individual will design and conduct complex, multi-step laboratory
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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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and ubiquitin ligase complexes by single particle cryoelectron microscopy. Prepare purified protein samples, reconstitute complexes by gel filtration, prepare cryoelectron microscopy grids for imaging
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existing research into the role of microglia in seizures and epilepsy development, with an emphasis on neuroinflammation. As epilepsy is a complex disease, our research is holistic and spans cellular
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This position includes duties related to molecular biology, data analytics and manuscript development within a computational
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accurate electronic lab notebook. • Perform rigorous analysis and interpretation of complex datasets. • Prepare manuscripts for publication in high-quality, peer-reviewed journals. • Present research
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complex decision-making, and specifically in governing the balance between flexible and rigid decision styles. Tools to be employed (and on which we can train you) include: •Novel high density probes