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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
modeling, or urban policy evaluation. - Experience with version control (e.g., Git/GitHub) and collaborative coding practices. - Able to think critically, proactively and work both independently and in
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. Under the mentorship of the PI Dr. Karen Chen, the postdoc will collaborate with the MedRIN network to disseminate findings enhancing innovation, rigor, and open access for scientific communities in
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Open Date 07/17/2025 Requisition Number PRN42561B Job Title Post Doc Res Assoc w/Ret Working Title Post Doc Res Assoc w/Ret Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard
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optogenetic investigations of cognition-related hippocampal formation and related brain networks. ? Analysis of electrophysiologically-evoked responses to assess synaptic population changes
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to develop and progress the candidate’s career goals. Attend career development seminars and networking events. Administrative Duties (5%) Complete required research training. Perform general administrative
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Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus on cancer treatment and research
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QUALIFICATIONS Track record of mentoring and teaching laboratory and professional skills. Experience using code-based programs (Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g
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the goal of improving 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
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job A funded postdoctoral position with an emphasis on studying the synaptic mechanisms of cognitive
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
satellites and maintain ground networks. We try to bridge our theoretical studies with high-performance tools that can be used in science, predictions, and applications. The project "Waves in the lnner