Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Netherlands
- Sweden
- United Kingdom
- Germany
- Singapore
- France
- Australia
- Norway
- Belgium
- Luxembourg
- Spain
- Denmark
- Switzerland
- Austria
- China
- Portugal
- Finland
- Canada
- United Arab Emirates
- Italy
- India
- Cyprus
- Hong Kong
- Ireland
- Poland
- Mexico
- Morocco
- Saudi Arabia
- New Zealand
- South Africa
- Estonia
- Hungary
- Macau
- Slovenia
- Croatia
- Greece
- Vietnam
- 28 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Economics
- Medical Sciences
- Biology
- Science
- Business
- Materials Science
- Mathematics
- Environment
- Arts and Literature
- Earth Sciences
- Electrical Engineering
- Chemistry
- Education
- Psychology
- Humanities
- Law
- Philosophy
- Design
- Linguistics
- Social Sciences
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next
-
University's transition into a digitally enabled, data-driven and globally connected institution, ensuring that technology, data and digital capability are aligned with UEL's academic mission, careers-first
-
experience applying artificial intelligence or machine learning to scientific or engineering problems, including the development, training, validation, or evaluation of machine-learning models. Proficiency in
-
engineering faculties worldwide. For more information, visit the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills & Experience: A PhD in Photovoltaic Engineering, Materials Engineering
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
inform representations and encoder adaptations. This activity will provide hands-on experience in making three-dimensional vegetation structure accessible within data-driven geospatial modeling processes
-
operations across multiple departments. Transforms manual processes into AI-driven solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI
-
for finance. Deploying the agentic economic world models and the transformer architecture for AI-driven financial econometric tasks such as covariance matrix estimation and time-series forecasting
-
engineering Researcher Profile First Stage Researcher (R1) Application Deadline 12 Oct 2026 - 23:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Mar 2027 Is the
-
5 Sep 2026 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 1 Oct 2026 - 12:00 (UTC
-
2 Sep 2026 Job Information Organisation/Company Università degli Studi di Brescia Research Field Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Leading Researcher