756 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Postdoctoral positions in United States
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human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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not have exceeded two years previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc
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. This position offers an exciting opportunity to work at the intersection of HPC and AI, addressing critical communication bottlenecks and optimizing network interconnects for large-scale distributed systems
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federal, state and Rutgers's compliance standards as they appear in RBHS's Corporate Compliance Policy, Code of Conduct and Interest policy. Acts as a role model for corporate integrity, customer service
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. Core responsibilities include: Code development and maintenance. Generation and dissemination of journal and conference papers. Proposal development and writing. About the Lab: MADAL, led by Prof. Leitao
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/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Noel Lab (noel-lab.org ) in the Department of Neuroscience at the University
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previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc.) The candidate should have an
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Summary of Position: The post-doctoral researcher will work under the
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are formed in bone-conduction. We perform intracochlear measurements of sound pressures and vibrations in human cadaveric ears. We develop circuit network models and finite element models to assist data
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interest to analyze genomics data and interpret biomedicine from data; experience or interest in cancer genomics, tumor microenvironment, single-cell data, spatial omics, immunology, gene regulatory networks