Sort by
Refine Your Search
-
, 41512056). This position will have the opportunity to gain strong training in cancer metabolism, cell growth signaling, and mouse models. The position is aiming at publishing high-profile papers and pursuing
-
Segment Care image labels; shape active-learning loops and QC. Productionize models with PyTorch, Docker/Kubernetes, and AWS/SageMaker Prepares manuscripts for publications. Ensure all members of the lab
-
mechanisms of various brain disorders using murine models and iPSC-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science
-
researcher will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the disease mechanisms of various brain disorders using murine models and iPSC
-
stipend and benefits and is located one hour from New York City. Questions should be directed to: Matthew McBride, PhD, Department of Chemical Biology, the Cancer Institute of New Jersey, Rutgers University
-
-learning loops and QC. Productionize models with PyTorch, Docker/Kubernetes, and AWS/SageMaker Prepares manuscripts for publications. Ensure all members of the lab are in compliance with the necessary
-
.). Ability to work collaboratively and independently. Must have at least one first-author publication in a peer-reviewed journal. Preferred Qualifications PhD or MD with experience in computational modeling
-
, the Post-Doctoral Associate conducts highly specialized and technical research involving animal models of cardiovascular disease. Among the key duties of this position are the following: Designs, executes
-
projects that characterize the toxicological effects of emerging environmental pollutants using advanced cellular and animal models. Rutgers NAMC is known for its transdisciplinary research on particle
-
for a post-doctoral research associate position in the area of transportation modeling and planning. The position is for two-years but may be extended depending on results and available funding