Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
qualifications required for employment as associate professor. The Computer Vision Laboratory (CVL) is looking for an assistant professor in machine learning with a focus on computational photography. CVL is a
-
may be taken into consideration. A suitable candidate will have a PhD in computer science, statistics, sociology, economics, political science or a corresponding subject of relevance to computational
-
taken into consideration. A suitable candidate will have a PhD in sociology, computer science, economics, statistics, political science or a corresponding subject of relevance to computational social
-
We are now looking for our new PhD who will join us in our poject in ELLIIT , Linköping University. Your work assignments The selected candidate will conduct cutting-edge research on unconventional
-
Science for Sustainability (WISE ). The WISE Fellow recruitment package includes salary for the recruited faculty member (4 years full-time) salary for two PhD students (4 years each) salary for two
-
strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting
-
application! At the Department of Electrical Engineering, Division of Automatic Control, we are now looking for a PhD student, to be admitted to the WASP graduate school. Your work assignments The research area
-
qualifications required for employment as associate professor. The Computer Vision Laboratory (CVL) is looking for an assistant professor in machine learning with a focus on motion analysis from video. CVL is a
-
of organic semiconductor materials. Work assignments This project, funded by the Wallenberg Academy Fellows programme https://kaw.wallenberg.org/en/research/creating-greener-semiconductors , aims to provide a
-
application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description