Sort by
Refine Your Search
-
be responsible for experimental logistics, data collection, analysis of data, and developing species distribution models based on collected data. Position Status Full Time Posting Number 25FA1197
-
the evolution of kinship, gendered labor divisions, or disability are encouraged to apply. A Ph.D. in anthropology, biology, demography, statistics, or a related field is required. The position offers a flexible
-
, the individual will also help train graduate students and technicians, and help maintain various equipment. The individual will also develop the skills and apply advanced techniques using various in vitro culture
-
development work on a carbon dot technology. The work requires knowledge of materials synthesis, polymer and carbon material properties, materials analysis, and characterization. Additionally, assistance in
-
candidate would work on projects in methods development for coupled electron-nuclear dynamics based on the exact factorization approach and time-dependent density functional theory. Projects involve theory
-
by chemical exposures. Develop educational tools describing relative risks of chemical exposures. Contribute to public policies related to environmental and occupational chemical risks. Offer training
-
the evolution of kinship, gendered labor divisions, or disability are encouraged to apply. A Ph.D. in anthropology, biology, demography, statistics, or a related field is required. The position offers a flexible
-
processes, etc., to develop the skills necessary to perform the required functions. Understands and adheres to Rutgers’ compliance standards as they appear in RBHS’s Corporate Compliance Policy, Code
-
convenient to be determined by both parties). The positions are fully funded for multiple years with a recent award from the National Institutes of Health on Developing Novel Technologies That Ensure Privacy
-
. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and