26 high-performance-computing-postdoc Postdoctoral positions at SUNY University at Buffalo
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Detail Information Position Summary This Postdoctoral Associate will support the research program of Professors Dr. Jae Lee and Dr. Soo-Kyung Lee in the Department of Biological Sciences . Projects will
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Scholar will be responsible for: The expression, purification, and structure determination of these membrane proteins and complexes. Assisting with lab organization and operation Training of students and
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Position Summary As a Postdoctoral Associate in the largest comprehensive university-connected research foundation in the country, you will perform independent and directed research to achieve the objectives
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Postdoctoral Research Opportunity: Lipid Biology, Cell Death, and Evolutionary Genomics. We are seeking a highly motivated Postdoctoral Associate to join our collaborative research program at the intersection
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macrophages and its impacts on macrophage innate immunity. The postdoctoral associates will work in close collaboration with scientists at the Malawi-Liverpool-Wellcome Clinical Research Program in Blantyre
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, including interpretation and presentation of findings. Specific duties include, but are not limited to: Establishing new protocols for new research ideas Performing and troubleshooting experimental protocols
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. Positions are available within the various School’s Departments. The successful candidate will perform independent and directed research to achieve the objectives of the research project within your
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screening. • Data analysis using X-ray crystallography, neutron crystallography, and X-ray spectroscopy approaches. • Applying computational skills to support and collaborate on AI and classical machine
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technologies experience with computing languages and using 2D and 3D numerical models experience with presenting at conferences and writing journal papers and grants Physical Demands Salary Range $50,000
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cutting-edge multi-omics at bulk, single-cell and spatial scales with computational analyses to investigate transcriptome, epigenome and chromatin architecture. Combine multi-omics with flow cytometry and