Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Statistics
- Business
- Biology
- Medical Sciences
- Education
- Earth Sciences
- Environment
- Social Sciences
- Psychology
- Engineering
- Chemistry
- Economics
- Design
- Law
- Physics
- Humanities
- Mathematics
- Science
- Arts and Literature
- Electrical Engineering
- Materials Science
- Sports and Recreation
- 13 more »
- « less
-
appropriate personnel, as necessary. Duties and Responsibilities KEY DUTIES AND RESPONSIBILITIES : Support the data collection and analysis needs for the Academic Enhancement Center, Retention and
-
. Instructional areas include, but are not limited to, analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The mission of the Master of
-
Research Analyst II supports the university’s strategic planning and decision-making by conducting independent research and advanced data analysis. Reporting to the Assistant Vice Provost and Director
-
, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale
-
University of California, San Francisco | San Francisco, California | United States | about 21 hours ago
-end analytics development to deliver enterprise-quality reporting products. Working closely with data architects, analysts, engineers, and business stakeholders, the incumbent establishes visualization
-
. Posted Job Title Bioinformatician A/B Job Profile Title Bioinformatician A Job Description Summary The Human Pancreas Analysis Program (https://hpap.pmacs.upenn.edu/) and Faryabi Lab (https
-
existing practices and procedures. The role will also perform analytical work while coordinating, managing and disseminating both financial and strategic direction through data visualization models. This
-
artificial intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn to address
-
intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn to address business issues in
-
artificial intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn to address