148 proof-checking-postdoc-computer-science-logic research jobs at Rutgers University
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, geography, urban informatics, or a similar field with suitable analytic skills to conduct transportation analysis. The ability to conduct qualitative research and organize and run focus groups is essential
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Status Full Time Posting Number 26FA0207 Posting Open Date 03/09/2026 Posting Close Date 06/15/2026 Qualifications Minimum Education and Experience Terminal degree in life sciences or chemical sciences
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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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The School of Environmental and Biological Sciences, located on the George H. Cook Campus, is one of the largest schools of Rutgers University in New Brunswick, New Jersey. We pursue excellence in research
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Qualifications Minimum Education and Experience Ph.D. in Microbiology, Bioinformatics, Computational Biology, Systems Biology, or a related field. Strong expertise in microbiome bioinformatics (amplicon and
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Experience · PhD in oceanography, atmospheric science, geophysics, economics, computer science, statistics, or a related discipline at time of appointment; · Familiarity with literature relevant to sea-level
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oceanography, atmospheric science, geophysics, economics, computer science, statistics, or a related discipline at time of appointment; · Familiarity with literature relevant to sea-level projections and/or
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are the following: Conceptualizes, designs and implements research and program evaluation projects in support of the lab’s mission. Based on a thorough knowledge of the field and the research literature, identifies
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-Laboratory) Department RWJ - Psychiatry Division of A Overview New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing
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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