128 electrical-engineering-coding-theory Postdoctoral positions at Rutgers University in United States
Sort by
Refine Your Search
-
related field prior to being hired. Certifications/Licenses Required Knowledge, Skills, and Abilities Required o Professional knowledge in mechanical engineering, electrical engineering, civil engineering
-
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
-
position in the filed of algal and seaweed multi-omics and metabolic engineering in support of multiple ongoing projects. Under the direction of Dr. Bhattacharya the individual will be responsible
-
position in the field of algal and seaweed multi-omics and metabolic engineering in support of multiple ongoing projects. Under the direction of Dr. Bhattacharya the individual will be responsible
-
processes, etc., to develop the skills necessary to perform the required functions. Understands and adheres to Rutgers’ compliance standards as they appear in RBHS’s Corporate Compliance Policy, Code
-
backgrounds in educational research, theory, and practice, but other specialties might be considered. The Postdoctoral Associate must be committed to using research as a tool for achieving equity. The Associate
-
-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
-
human patients. The applicant should have strong background in neuroscience and/or cell biology, biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
-
candidates will have a background in the biomedical neurosciences such as biomedical engineering, data science, computational sciences, neurobiology, psychology, epidemiology, cognitive neuroscience, and an
-
. The lab’s work broadly centers on the development, evaluation, and implementation of technology-enabled interventions aimed at both prevention and management of pregnancy-related conditions and complications