Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Netherlands
- Germany
- Portugal
- Sweden
- Italy
- Norway
- Spain
- Belgium
- Denmark
- Singapore
- Australia
- Morocco
- Poland
- Finland
- Austria
- Switzerland
- Ireland
- China
- Canada
- Japan
- Hong Kong
- United Arab Emirates
- Luxembourg
- Brazil
- Czech
- Estonia
- Hungary
- New Zealand
- Slovenia
- South Africa
- Croatia
- Cyprus
- Greece
- Iceland
- India
- Malta
- Romania
- Slovakia
- South Korea
- 32 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Environment
- Chemistry
- Business
- Psychology
- Arts and Literature
- Electrical Engineering
- Education
- Humanities
- Law
- Philosophy
- Social Sciences
- Sports and Recreation
- Linguistics
- Physics
- 13 more »
- « less
-
and deployment of campus‑scaled AI models (e.g., chatbot systems, recommendation engines, data‑driven insights). Architect, plan, and oversee custom application development in languages like Python
-
the Department of Geosciences. PHAB’s main goal, based on detailed studies of Earth and the solar system, is developing predictive models to identify habitable planets around other stars. Within three
-
platforms, environmental prediction models, and visualization tools as needed. Additional tasks include field experiments to test the instruments and validate models; preparing data reports and presentations
-
dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently multi-agent, strategic, and resource-constrained. Each agent has its
-
environmental science is of supreme importance. Students entering the science classroom bring well-developed intuitive frameworks that help them understand, explain, and predict the world around them. These
-
making by preparing clean datasets, building dashboards and recurring reports, and conducting descriptive analyses and basic predictive modeling under the guidance of the Director of Institutional Research
-
and limitations arising from the use of AI-based methods in predictive feedback. The successful candidate will: explore how a combination of multimodal observation (audio, video, LIDAR, thermal vision
-
biological data, including classification, clustering, feature selection, and predictive modeling. Rutgers Cancer Institute of New Jersey and RWJBarnabas Health, the state’s largest health care delivery system
-
help industrial firms use operational data in new ways, for example to improve fuel efficiency, support predictive maintenance, enhance safety, reduce emissions and optimize the use of resources. In
-
intelligence as applied to trauma systems and acute care surgery. Fellows will engage in cutting-edge research spanning multiple domains, including risk prediction models for surgical complications, clinical