21 front-end-development Postdoctoral positions at University of Groningen in Netherlands
Sort by
Refine Your Search
-
Applications are invited for a 2-years position as postdoctoral researcher within the research project “Graphs and Ontologies for Literary Evolution Models” (GOLEM), financed by an ERC Starting
-
and continuous development of regional innovation strategies as part of the European regional economic policies framework (EFRD, for example). How can such stakeholder networks best be leveraged
-
teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 36,000 students and researchers alike to develop their own individual talents. Belonging
-
teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 36,000 students and researchers alike to develop their own individual talents. Belonging
-
of the University of Groningen in The Netherlands. The position is available within the research project "Aggregating Safety Prefer-ences for AI Systems: A Social Choice Approach." The project aims to develop formal
-
of the University of Groningen in The Netherlands. The position is available within the research project "Aggregating Safety Prefer-ences for AI Systems: A Social Choice Approach." The project aims to develop formal
-
. The focus of this project is the development of advanced electrochemical purification methods to recover lithium from industrial wastewater. In this project, the postdoctoral researcher will focus
-
of the planning and implementation processes with emerging energy technologies. You will develop and execute trainings and workshops for practitioners based on theories in Environmental psychology and empirical
-
-intensive and innovation-oriented industrial partners. As core expertise, the consortium specializes in developing new chemical building blocks that, when applied on industrial scale and with industry-leading
-
Automation group will develop novel machine-learning based control algorithms that allow for real-time adjustment of OSA therapy. The main challenge is to develop robust machine learning algorithm which can