122 professor-computer "https:" "https:" "https:" "https:" "University of Aberdeen" Postdoctoral research jobs at Rutgers University
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human patients. The applicant should have strong background in neuroscience and/or cell biology, biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
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postdoctoral fellowship positions on our newly funded NIAAA Institutional Research Training T32 program, Training in Research on Alcohol use and its Consequences and Etiology (TRACE). The goal of this program is
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capable of viewing gauges, computer monitors,charts, forms, text and numbers for prolonged periods. Must be available to work flexible hours, including overtime onshort notice and possible weekends and
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to Applicants PLEASE SUBMIT COVER LETTER, RESUME, AND CONTACT INFORMATION WITH THREE REFERENCES. For questions, please contact: Emily Graybill, PhD Associate Professor GSAPP Rutgers University E: Emily.graybill
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perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Applicant should be highly motivated
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of the Director of PopQuIS, Program faculty, and designated mentors, the Post Doctoral Associate conducts specialized research, literature review and integrates a primary care framework to improve population and
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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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, 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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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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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