123 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "ISEP" Postdoctoral positions at Rutgers University
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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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interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory workflows. This position offers the opportunity to lead integrative projects
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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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used; the Framework for Assessment of Changes To Sea-level (FACTS; https://www.fact-sealevel.org/ ), an open-source sea-level projection framework initially developed by the lab, supported
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neuroscience, or neural decoding. Experience with multimodal data integration (EEG + imaging/behavior). Track record of peer-reviewed publications. Interest in developing an independent research program
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, on program implementation and outcomes, along with producing peer-reviewed publications and public reports. The Associate will also lead the coordination of statewide and local research and practice learning
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experiential learning courses, as well as contributing lectures to core plant pathology courses that support required and elective curricula in the Undergraduate Program in Plant Science and Graduate Program in
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Development Program (SERDP) (https://serdp-estcp.mil/page/415323e5-04d5-4783-ad11-5201a59f456d ). The project is a collaboration between Rutgers, Temple, and CDM Smith. The initial appointment will be for 12
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visit our lab website: https://sites.rutgers.edu/tina-liu-lab/ Under the direction of the Principal Investigator (PI), Dr. Tina Liu, the Postdoctoral Associate will: • Develop and pursue research projects
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required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP-seq sample preparation, data collection, and data processing