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within the Institute emcompasses multiple disciplines relating to both diabetes and metabolism. As a successful candidate you will: · Perform a variety of wet lab experiments to test the roles
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presentation, ability to work efficiently in a team and with collaborators · Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage · Previous
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team environment and handle multiple projects simultaneously.
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metabolic syndrome · Utilize multiple cutting-edge technologies, including spatial transcriptomics and single nuclei multiomics, to dissect the molecular mechanisms of cardiomyopathy under diabetes
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. The research program embraces team science drawing from i.e., implementation science, data science, geospatial, epidemiological, and machine learning approaches to better understand broad contexts including
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biology, and large-scale data analysis and computational biology. For more information about Dr. Chen’s lab, please visit here. As a successful candidate, you will: Engage in a variety of advanced
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sequencing, metabolism, drug development, structural biology, and large-scale data analysis and computational biology. For more information about Dr. Chen’s lab, please visit here. As a successful candidate
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are looking for a highly motivated candidate with a PhD and/or MD degree interested in combining novel rational and combinatorial synthetic biology approaches with computational methods to develop strategies