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Postdoctoral Researcher -Discovery and Bioengineered Production of High-Value Plant Natural Products
approaches to produce high-value phytochemicals for human health and well-being. The lab combines omics-based analyses with genetics, biochemistry, metabolic engineering, and synthetic biology. We
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in Dr. Shanlin Ke’s lab. The overarching goal of Dr. Ke’s lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and
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Science and Mass Spectrometry. Post Doctoral Scholars are expected to lead analyses critical to the research program and to take initiative in contributing to the design of experiments involving enhanced
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and mechanisms of selective autophagy and lipid metabolisms in neural stem cells, microglia, and astrocytes. The lab developed novel genetically engineered mouse models to study roles of autophagy genes
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with Dr. Robinson on a research program on Traditional Governance in Africa, which is funded by the Mershon Center. The project evaluates how the history, institutional structures, and political
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engineering related research, makes and records observations and measurements, collects and compiles data for computer input and analysis, perform literature search on related topics, and operates and maintains
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of study in the fields of AI/ML, aerodynamics and acoustics, and computational methods. Demonstrated strong written communication skills. Required Experience: N/A Desired Experience: Doctoral degree in
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and Sciences | Physics Administration Post Doctoral Scholar will carry out a vigorous program of independent research, write papers for refereed publication, travel to conferences and other venues
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analysis to explore microbial communities and their functional potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute
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analysis to explore microbial communities and their functional potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute