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and professional development: 33.5% The selected candidate will also engage in training and research development activities, as determined in consultation with a faculty mentor. The postdoctoral
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encompass some of the most exciting areas of contemporary microbiology and immunology, ranging from the physiology and development of microorganisms, the molecular pathogenesis of infections, and fundamental
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of neurodegenerative disease, demyelination, and brain tumors • Perform high-dimensional flow cytometric analysis of immune cell populations in CNS tissues and peripheral compartments • Develop and refine experimental
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of research. -Carry out and/or supervise laboratory experiments. -Develop experimental procedures. -Collect and analyze data. Qualifications Required Qualifications: - Ph.D. or an equivalent degree. Preferred
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extraction and RT-PCR. Prepare samples for next generation sequencing (NGS) and analysis of NGS data. Assist in projects involving bacteria and bacteriophages. Work after hours and on weekends as needed. Use
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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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findings at lab meetings and scientific conferences; contribute to collaborative research discussions • Prepare figures, methods, and manuscripts for publications • Mentor junior trainees and contribute
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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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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