59 engineering-engineering "https:" "https:" "https:" "Princeton" Postdoctoral research jobs at Rutgers University
Sort by
Refine Your Search
-
opportunities for collaboration with investigators affiliated with the Rutgers-Princeton Center for Computational Cognitive Neuro-Psychiatry ( CCNP ; https://ccnp.princeton.edu/about-ccnp/ ), including
-
Science and Engineering or related fields. Certifications/Licenses Required Knowledge, Skills, and Abilities Ph.D. and B.S. one or more of the following majors: chemistry, geochemistry, materials
-
Position Details Position Information Recruitment/Posting Title Post Doc Associate Department Biomedical Engineering Salary Details $63,968 or other negotiated minimum salary Offer Information The
-
/benefits/benefits-overview . Posting Summary Dr. Edward DeMauro, Department of Mechanical & Aerospace Engineering (Rutgers University, New Brunswick, NJ, USA ) is seeking applications from qualified
-
Electrical and Computer Engineering seeks highly motivated candidates for a Postdoctoral Associate position in the area of Integrated Sensing and Communications ( ISAC ). Responsibilities: Conduct cutting
-
with a team of approximately 20 researchers in the built environment group at CUPR and will contribute research skills and training at the intersection of engineering, economics, and public policy
-
-lapse geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a
-
engineering (i.e. CRISPR /Cas9), and broad use of molecular biology and biochemical tools to validate genomic alternations. The successful applicant is expected to independently conduct their own
-
innovative, multidisciplinary research at the intersection of neurophysiology, biomedical engineering, and rehabilitation within a stimulating, supportive, and mentored environment. Position Status
-
science and engineering. Eligible subject areas include computational biology and/or biomedicine, multi-modality fusion and inference (visual and NLP data), computationally efficient ML