27 swap model in irrigation Fellowship positions at Rutgers University in United States
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the area of host-pathogen interactions using cell cultures, clinical samples and animal models in Dr. Chang's laboratory. Among the key duties of this position are the following: Examines the role of hormone
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the transition to addiction using rodent models. The postdoctoral fellow will be supervised by Dr. Pierce and will contribute to ongoing projects and develop independent research projects that fall within
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also have previous experience in mathematical modeling, coding (e.g., Python, R, C/C++), analysis of large data sets, and/or simulations. Candidates in ABD (all but degree) status will also be considered
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, including cell and molecular biology, biochemistry, animal models, and bioinformatics. Postdocs have abundant opportunities to interact with a vast research community offered by Rutgers campuses, and
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research on characterizing noncoding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches
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investigator, conducts highly specialized and technical research involving animal models of cardiovascular development. Among the key duties of this position are the following: Designs, executes, and analyzes in
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of this position are the following: Examines the role of metabolic pathways of host immune cells in mediating immune function in tuberculosis using in vitro and in vivo mouse models Performs experiments that include
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writing and verbally. Expertise in longitudinal latent variable modeling. Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Physical Demands: Standing, sitting, walking
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and multilevel data analysis, structural equation modeling, social network analysis, and GIS. Experience with quasi-experimental and causal inference methods. Advanced proficiency in Stata (preferred
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metabolism and immune response for KRAS-mutant lung tumor growth and metastasis using genetically engineered mouse models and the state-of-the-art metabolomic and lipidomic analysis; 2. examine the efficacy