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the implementation of the IRB approved protocol. • Develop and maintain accurate, complete source documentation and records. • Monitor subject responses to protocol defined treatments/interventions, and schedule
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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mechanisms of metabolic diseases and cancer; developing novel strategies in biocatalysis and biotechnology; and advancing knowledge through structural biology and molecular biophysics. We organize ourselves
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The postdoctoral scholar will work with undergraduates and graduate students in the lab and is expected to foster the development of junior lab members. Qualifications The ideal candidate will have a PhD in
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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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required, you will be expected to prepare manuscripts for submission to scientific journals and present at scientific meetings. 35% Detailed documentation of procedures and experimental data is expected
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of samples for mass spectrometry. About the Department The Department of Genetics, Cell Biology, and Development comprises faculty from both the Medical School and the College of Biological Sciences. Faculty
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developing a non-invasive magnetic resonance imaging tool to interrogate human brain metabolism using the ultra-high field 10.5 T whole-body human MRI scanner and a novel dynamic deuterium to proton exchange
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, implementation, and analysis of experiments. As required, you will be expected to prepare manuscripts for submission to scientific journals and present at scientific meetings. Additionally, you are expected
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, qPCR, drug development, experimental design, data analysis and recording primary data and methods used. 5% Research communication Critical analysis of the literature, preparing manuscripts, oral