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%) • Generation of quantitative parametric maps (10%) • Critical analysis of data quality (5%) • Data storage and organization in databases (5%) • Summarizing results (5%) • Preparing manuscript and presentations
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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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the possibility to extend to a second year based on satisfactory performance, mutual agreement, and the availability of funding. JOB DUTIES: 60% Performance of experiments 20% Data Analysis 20% Research
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biology techniques, e.g., PCR Experience with computational tools for microbiome analysis, including R, python, mothur, QIIME, MaAsLin, etc. Ability to design and conduct experiments and analyze
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institutions. Primary responsibility will be to develop, test and validate various sequences in healthy volunteers at 10.5 T. Additional responsibilities will be spectral processing, critical analysis of data
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/Development, or Immunology. Peer-reviewed publications demonstrating experience in experimental design and analysis Preferred Qualifications: The ideal candidate will have a genuine interest in neuroimmunology