Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Earth Sciences
- Biology
- Science
- Business
- Mathematics
- Materials Science
- Arts and Literature
- Social Sciences
- Chemistry
- Education
- Environment
- Psychology
- Law
- Physics
- Sports and Recreation
- Humanities
- Linguistics
- Philosophy
- Design
- Electrical Engineering
- 14 more »
- « less
-
operations as well as research into sustainable energy sources. For more information, please visit https://www.unr.edu/engineering Contact Information Search Chair - Pradeep Menezes, pmenezes@unr.edu Exempt
-
leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The
-
and practice activities will build on existing data, analytics, text mining and AI scholarship and practice in the context of a) UWM ITS infrastructure which includes the Epic Cogito analytics stack
-
, machine learning, database systems, or data mining. Experience with different generative AI approaches such as transformer, or diffusion models. Very good programming skills in either Python, Julia, or R
-
statewide. For more information, please visit: https://www.unr.edu/police Required Qualifications Graduation from high school or equivalent education and two years of journey level law enforcement experience
-
endorsements, workforce credentials in Applied Fisheries, Health Sciences, Construction Technology, Power Technology, Welding, Mining, and Maritime Transportation. This is an exciting opportunity to shape
-
centers with over two million residents to isolated ranching and farming communities of several hundred or fewer inhabitants. https://extension.unr.edu/default.aspx Exempt Yes Full-Time Equivalent 100.0
-
and sources to answer key operational questions. Deep experience using a variety of data mining/data analysis methods to build and implement dashboards, models and algorithms that can help stakeholders
-
. (2017). Beyond prediction: Using big data for policy problems. Science, 355(6324), 483–485. Barocas, S., Hardt, M., & Narayanan, A. (2021). Fairness in Machine Learning. Retrieved from https
-
project manager of several complex projects as assigned. In coordination with other departments, manage Siteman proposals and gift officer portfolios. Manage extensive data mining and reporting projects