140 web-programmer-developer-"PhD-Jobs.NET" Postdoctoral positions at Rutgers University
Sort by
Refine Your Search
-
productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in social-structural determinants of health, intersectionality, and community
-
at Rutgers School of Public Health and core member within the Center for Pharmacoepidemiology and Treatment Science (PETS). The successful Postdoctoral Research Assistant candidate will further develop
-
. Devote 40-50% research time to 1 of the 3 areas. Use 50% research time freely to develop independent interests aligned with lab’s research topics including Arginylation, Cell Engineering, Chemical
-
at the intersection of theoretical chemistry and machine learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics
-
interdisciplinary team working on the development of digital twin models for critically ill patients in the intensive care unit (ICU). This position offers a unique opportunity to contribute to a cutting-edge project
-
the molecular basis of Cryptococcus-host interactions and characterize fungal antigen-mediated immune protection with a goal to develop novel antifungal vaccines. Among the key duties of the position
-
of findings. The research program is focused on understanding the role of extracellular vesicles and steroid hormones during pregnancy in shaping brain development and behavior. The Postdoc is expected
-
candidate will play a key role in ongoing and developing studies investigating the interplay between longitudinal cognitive outcomes, metabolic and vascular risk factors. The postdoc will work closely with
-
in the implementation of the programs and projects in special areas of interest to the laboratory. Contributes to the development of performance standards, selection of methodology and instrumentation
-
have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding of neuroimaging data to predict subjective