202 engineering-computation "https:" "https:" "https:" "https:" "https:" "Ulster University" research jobs at Rutgers University
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, the Postdoctoral Associate will investigate hippocampal and cortical circuits during navigation and goal-directed behaviors using large-scale electrophysiology, in vivo imaging, optogenetics, and computational
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Abilities Must have effective oral and written communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and
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including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods at the density-functional
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experimental research on structural and functional characterization of Hybrid-Two-Component Systems (HTCSs) in Bacteroides. Uses molecular biology and molecular genetic techniques to engineer plasmids
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. More information about the lab can be obtained at https://deaconesculab.com Position Status Full Time Posting Number 25FA0742 Posting Open Date Posting Close Date Qualifications Minimum Education and
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such, we educate, make discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives. Connections working at Rutgers University More Jobs from This Employer https
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biology, preferred. Background in immunology or cancer biology research preferred. Experience with mouse colony management and mouse experiments in vivo is highly preferred. Computer literacy with
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eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary We have immediate availability for postdoctoral associate researchers in experimental particle physics on the CMS
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/behavioral problems. Perform various research procedures relative to the ongoing research protocols. Recruit and enroll participants in research studies, which includes travel to various treatment program
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to oversee research activities outlined in NSF Grant 2520154 “Understanding Expectation-Driven Learning in Early Childhood: An Experimental and Computational Investigation,” under the supervision of Dr. Kimele