Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Netherlands
- Sweden
- United Kingdom
- Germany
- Singapore
- France
- Australia
- Norway
- Belgium
- Luxembourg
- Switzerland
- Spain
- Denmark
- Austria
- China
- Portugal
- Finland
- Canada
- United Arab Emirates
- Italy
- India
- Cyprus
- Hong Kong
- Ireland
- Poland
- Saudi Arabia
- Mexico
- Morocco
- South Africa
- Estonia
- Hungary
- Macau
- New Zealand
- 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
- Education
- Chemistry
- Psychology
- Humanities
- Law
- Philosophy
- Design
- Linguistics
- Social Sciences
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
-driven and globally connected institution, ensuring that technology, data and digital capability are aligned with UEL's academic mission, careers-first strategy and Forward to 2040 ambitions. The Chief
-
extracellular matrix biology, biomaterials, hydrogel systems, 3D culture, tissue engineering, or disease-relevant cell–matrix models. About the School The School of Physical and Chemical Sciences (SPCS) at Queen
-
16 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mechanical and Industrial Engineering Research Field Engineering
-
-driven methods for power system stability assessment and control with stochastic resources Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system
-
of the physics underpinning ultrasound-driven atomization, a highly nonlinear and heretofore unexplained phenomena. Other work outside these specific duties may be required from time to time in research-related
-
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
-
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
-
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 | 6 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