87 assistant-professor-computer-"https:" "https:" "https:" "https:" "OsloMet storbyuniversitetet" Postdoctoral positions at Rutgers University in United States
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and laboratory assistants as required. Performs genetic matings to generate animal models of heart disease. FLSA Exempt Grade Salary Details Minimum Salary 20,000 Mid Range Salary 90,000 Maximum Salary
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. Proficiency in written and oral English and computer literacy with Excel, Word, and PowerPoint is required. Certifications/Licenses Required Knowledge, Skills, and Abilities Experience and willingness to handle
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on the research conducted. Gives oral presentations of the research. Assists with the instruction and training of students, fellows, lower-level professionals, and technicians in laboratory instrumentation and
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. They will prepare manuscripts based on their research, aid in developing the PI’s grant applications, and will be expected to apply for personal grant funding. As part of their career development
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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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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Position Status Full Time Working Hours 37.5 Standard Hours 37.50 Daily Work Shift Work Arrangement
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of knowledge to impact policy and practice. The Institute is home to 8 interdisciplinary centers. Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu
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, aid in developing the PI’s grant applications, and will be expected to apply for personal grant funding. As part of their career development to transition to the next phase of their career
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of the Principal Investigator, the Postdoctoral Associate will assist in multiple aspects of the lab’s research, including study design, data collection, study management, data analysis, interpretation of findings
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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