Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Singapore
- Portugal
- Norway
- France
- Netherlands
- Spain
- Belgium
- Denmark
- United Arab Emirates
- Australia
- China
- Canada
- Hong Kong
- Switzerland
- Italy
- Poland
- Finland
- Japan
- Luxembourg
- Austria
- Ireland
- Estonia
- Czech
- Saudi Arabia
- Cyprus
- Lithuania
- Romania
- New Zealand
- South Africa
- Andorra
- Greece
- Latvia
- Armenia
- Brazil
- India
- Morocco
- Bulgaria
- Croatia
- Europe
- Iceland
- Israel
- Kuwait
- Lebanon
- Malta
- Mexico
- Taiwan
- Worldwide
- 41 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Science
- Business
- Biology
- Education
- Mathematics
- Arts and Literature
- Materials Science
- Electrical Engineering
- Social Sciences
- Humanities
- Psychology
- Chemistry
- Linguistics
- Law
- Earth Sciences
- Environment
- Design
- Sports and Recreation
- Philosophy
- Physics
- 14 more »
- « less
-
departments: Architecture Communication Design Computer Engineering Technology Computer Systems Technology Construction Management / Civil Engineering Technology Electrical and Telecommunications Engineering
-
Department: Zamierowski Institute for Experiential Learning (ZIEL) ----- Simulation Operations Position Title: Simulation Technology Specialist II - Zamierowski Institute for Experiential Learning
-
academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision for the future. Working Title EEO
-
– Engineering Graphics Full course descriptions may be found here: https://www.flcc.edu/courses/ This position is part of an ongoing recruitment process. Qualified candidates will be contacted by the hiring
-
single‑cell omics, AI machine learning, and translational biology. The role involves collaboration with academic research group(s), with a strong focus on bridging advanced computational methods
-
discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion
-
comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https
-
, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following areas: Machine learning/predictive modeling
-
foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
-
consultant for electrical and computer engineering projects for students in EPICS, VIP, Capstone or elsewhere. Train and assist Teaching Assistants in the proper use of electronic tools and test equipment