Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Medical Sciences
- Psychology
- Biology
- Education
- Business
- Statistics
- Computer Science
- Chemistry
- Law
- Environment
- Economics
- Earth Sciences
- Sports and Recreation
- Arts and Literature
- Engineering
- Science
- Design
- Social Sciences
- Electrical Engineering
- Humanities
- Materials Science
- Philosophy
- Physics
- 13 more »
- « less
-
applicants with expertise in one or more of the following areas: data science in healthcare, Tissue Engineering, Biomedical Systems and Devices, and other topics in the Rutgers Biomedical Engineering
-
integrating them with biosensing frontends. Computational Analysis: Strong skills in developing biosignal processing algorithms and implementing machine learning models for data interpretation. Technical
-
vitro and animal models of human disease, particularly neurodevelopmental disorders, including data analysis, image processing, literature research, and composition. They will handle transgenic mouse
-
responsible for making intellectual contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and
-
required. · Experience working with data in Microsoft Excel, SPSS , SAS and/or STATA . •Experience with Qualtrics survey development and administration required. •Experience in conducting education and
-
responsible for making intellectual contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and
-
electives. Opportunities for recurring appointments exist. A prepared syllabus is available for review for any of the below courses at: https://gsapp.rutgers.edu/current-students/syllabi. Candidates
-
to scientific manuscripts, and mentoring students and trainees. Performing experiments and data analysis in order to achieve research aims. Writing and contributing to scientific manuscripts to
-
scientific manuscripts, and mentoring students and trainees. Performing experiments and data analysis in order to achieve research aims. Writing and contributing to scientific manuscripts to publish findings
-
, Movebank), remote sensing data, GIS tools and quantitative/spatial approaches including machine learning to understand how wildlife species are reacting to climate change at continental or global