Sort by
Refine Your Search
-
. Posting Summary The Center for Cultural Analysis at Rutgers University-New Brunswick seeks to appoint two external Postdoctoral Associates for a year-long residential fellowship during academic year 2027-28
-
big data. Among the key duties of this position are the following: Participate in lab meetings, research-in-progress seminars, data analysis, and presentations at conferences. Participate in the ACTIVE
-
. The position will provide training and mentorship in life-course epidemiology, pregnancy and perinatal epidemiology, and the analysis of high-dimensional molecular data. This is a 12-month full-funded position
-
independent origins of aquatic locomotion. 2) Phylogenetic and Evolutionary Analysis: Use phylogenetic comparative methods to test whether limb reduction in aquatic lineages follows a constrained developmental
-
of human disease, particularly neurodevelopmental disorders, including data analysis, image processing, literature research, and composition. They will handle transgenic mouse models, maintain colonies
-
and trainees. Performing experiments and data analysis in order to achieve research aims. Writing and contributing to scientific manuscripts to publish findings . Mentoring trainees so that they may
-
will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
-
evolutionary biology. The postdoctoral associate will develop and benchmark methods for evolutionary analysis by the comparison of protein structures, conduct rigorous evaluations of the concordance
-
. Successful candidates will be involved with observational data analysis, numerical modeling of natural hazards, and outreach to local stakeholders. Candidates will present research findings through
-
conferences. Level of Decision Making: The postdoc will design and optimize experiments, particularly for Next Generation Sequencing workflows, including library preparation and data analysis. They will