22 computer-engineering Postdoctoral positions at Rutgers University in United States
Sort by
Refine Your Search
-
Position Details Position Information Recruitment/Posting Title Postdoctoral Associate - Structural Engineering Department Advanced Infrastructure Center Salary Details Minimum of union contracted
-
in neuroscience and/or cell biology, biomedical engineering or computer science, highly preferred. Equipment Utilized Physical Demands and Work Environment Physical Demands: Standing, sitting, walking
-
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
-
-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
-
are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
-
Number: 269896 Minimum Education and Experience: The individual must have completed a PhD in biology, biochemistry, molecular biology, or metabolic engineering with extensive computational research and lab
-
Minimum Education and Experience: · PhD in oceanography, atmospheric science, geophysics, economics, computer science, statistics, or a related discipline at time of appointment; · Familiarity with
-
://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary | Dr. Fernando J. Muzzio and Dr. Gerardo Callegari at C-SOPS, Department of Chemical and Biochemical Engineering (Rutgers University, New Brunswick, NJ
-
discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
-
Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with