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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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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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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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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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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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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Compensation Range: $62,232 – 75,564.00 annually; follows NIH stipend level by experience Work
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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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experience with interdisciplinary research networks, and a record of successfully attracting external funding for interdisciplinary research projects. To be able to use computationally intensive methods
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generation sequencing data-analysis and ability to code are considered an advantage You are an accurate and precise worker and possess strong analytical problem-solving skills (creative, critical, thinking out
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data