Sort by
Refine Your Search
-
/benefits/benefits-overview . Posting Summary The Modeling Equitable and Accessible Spaces for Everyone (M-EASE) project in the Department of Psychology and Center for Cognitive Science is seeking a post
-
, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation, reinforced learning, flood modeling and impact analysis, complex system modeling
-
duties for this position are the following: Conducts multidisciplinary research in the area of the role of mTOR kinase in growth control and anticancer mechanisms, including in vitro and in vivo models
-
, the National Science Foundation and others that include a mix of research design, fieldwork, data science, simulation modeling, writing, and presentations. The overarching goal of the Postdoctoral Associate will
-
on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches for coupling functional
-
artificial intelligence for advanced modeling and analysis. The successful candidate must be self-motivated and can think broadly and conceptually and formulate creative, sophisticated solutions to complex
-
Department at Rutgers University, New Jersey. We study reproduction, specifically molecular mechanisms of the meiotic cell cycle. Our work involves genetic mouse models, combined with molecular, cellular, and
-
the key duties of the position are the following: Designs, discusses, and performs diverse experimental models and techniques related to the study of innate cells. Contributes to general laboratory
-
. As such, the person in this position will make independent decisions with respect to the following critical research design issues: • Which variables should be included in each model? • From what
-
experience implementing the different methods of analysis to be able to make difficult judgments about which model is the most appropriate given the data. Preferred Qualifications Equipment Utilized