Sort by
Refine Your Search
-
Behavioral Neuroscience at Rutgers University-Newark is seeking two Post-Doctoral Associates; anticipated start date is November 1, 2025. Description of positions is as follows: Performs professional entry
-
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
-
Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
-
Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
-
(extreme heat and air pollution) and medications and devices in pregnancy on adverse health outcomes as well as other funded and unfunded projects. Candidates must have and maintain competence in
-
Center of Excellence for Rapid Surveillance of Tobacco, the Tobacco Dependence Program, a Tobacco Industry Marketing Program, and a Tobacco Control Law & Policy Resource Center. Posting Summary Rutgers is
-
, 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
-
, program evaluations, and other related reports. Minimum Education and Experience: Ph.D. or equivalent in Public Health, Psychology (health, social), Sociology, Anthropology or a related field required. City
-
further extension, depending on funding availability and performance. FLSA Exempt Grade Salary Details $62,232 - $75,564 salary to commensurate with years of experience and by NIH Stipend Rates Minimum
-
data from laboratory experiments to create a database of amphibian immune performance to be used for building and validating climate dependent mechanistic species distribution models. The applicant will