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proper laboratory methods and procedures. Qualifications Required Qualifications: - A Doctorate Degree (PhD, which is completed within the last 2 years) in relevant scientific fields (neuroscience
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Colelcotricum coccodes. (10%) Recording field and greenhouse study data and applying statistical methods (e.g., ANOVA, regression) to correlate pathogen load with disease outcomes and field and greenhouse
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combination of mass spectrometry and NMR methods to assess potential risks of these chemicals to coastal ecosystems. These individuals will also interact with, lead, and assist graduate and undergraduate
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acquiring and processing experimentally obtained MR data are desired. Duties • Design and build hardware for new MRI methods using frequency-swept techniques and multi-coil arrays (40%) • Develop software
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cancer. They will also learn experimental approaches and methods to investigate the pathogenic impact of aberrant mutations on tumorigenesis and biology. They will participate in collaborative projects and
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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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scientist to join a collaborative research program which exploits novel quantitative MRI and fMRI methods to understand and characterize brain energy metabolism and neurovascular coupling. The research will
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experiments pertaining to the role of transcription factor mediated networks to direct the fate of stem and iPS cells to a mesodermal fate (i.e. cardiac, endothelial, skeletal muscle); and conducting research
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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning
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processing pipelines or by developing new methods or both. • Make observations, interpret findings, and present results internally and externally. • Prepare conference abstracts, write journal papers, and