Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
-
build the sustainable companies and societies of the future. Our machine learning group is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual
-
build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence (RAI) (www.ltu.se/robotics ) subject at the department of Computer Science and Electrical and Space
-
build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
-
build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
-
build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
-
and modular service-oriented design. Qualifications Applicants must have completed a bachelor’s degree in computer science or the equivalent of three years of study in a Swedish Civilingenjör program
-
of Technology offers strong support through a qualified supervisory team and a structured doctoral education program leading to a PhD in Geotechnical Engineering. Active participation in the international
-
introduction, generic courses for LTU PhD program, specially designed courses, etc. Your research and coursework will be planned and recorded in your individual study plan throughout your progress. In addition
-
using contactless techniques for damage and crack detection Experience in integrating structural modeling, computational methods, and experimental results into a unified framework for condition assessment