Sort by
Refine Your Search
-
Applications are invited for a fully funded four-year PhD position in the field of prehistorical archaeology of northwestern Europe. The project will study how local prehistoric farming communities
-
and writes English fluently and has obtained excellent results in the master phase. The PhD candidate should have a background (MSc, research master) in international business, operations management
-
disease, where motor learning is affected at different stages. PhD project Goal: The primary aim of this PhD project is to understand why speech motor skills are disrupted early in Parkinson’s progression
-
well on various excellence ranking lists. FEBRI, the graduate school and research institute of the Faculty of Economics and Business has one PhD position in the field of Navigating Macroeconomic
-
, analysing the data, developing prognostic and simulation models and writing scientific articles. The PhD position is embedded in the research programme Operations of FEB’s Research Institute, while building
-
The PhD Project Are you passionate about tackling environmental challenges and making a tangible societal impact? The interdisciplinary project ‘Wad gaat om’ aims to address the pressing issue of
-
We are looking for a PhD candidates for a joint project between the groups of prof. Nathalie Katsonis, prof. Willem Kegel, and prof. Ben Feringa, that will be carried out within the framework
-
questions in the context of Surinam and the adjoining colonies of Demerara and Essequibo in the 18th and 19th centuries. New data will be collected and combined with existing databases to provide new insights
-
of stereoselective catalysis. As a main training goal, we want to educate researchers in comprehensive data-driven experimental approaches for realizing challenging asymmetric catalytic methods. This network brings
-
at the development of powerful and readily applicable workflows for data-driven development of stereoselective catalysis. As a main training goal, we want to educate researchers in comprehensive data-driven