Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
We are offering a 48-month PhD position (full time, 1.0 FTE) within the field of modern Frisian and Dutch literature. Supervisors are Prof. Arjen Versloot and Prof. Mathijs Sanders (University
-
Organisation Job description We invite applications for one PhD position, with Dr Remco Havenith at the University of Groningen. We are looking for a talented and highly motivated candidate to work
-
PhD in Intelligent Information & Incentive Design for Cyber-Physical Systems (V24.0341) « Back to the overview Job description A fully funded PhD position is available at the University of Groningen
-
We are offering a 48-month PhD position (full time, 1.0 fte) within the field of modern Frisian and Dutch literature. Supervisors are prof. dr. Arjen Versloot and prof. dr. Mathijs Sanders
-
. The specific PhD project is designed to examine the influence of the perception that a tipping point has been reached regarding the consumption of such products. Does this affect consumers’ motivation to change
-
PhD position Friese literatuur en samenleving (1.0 FTE) (V24.0312) « Back to the overview Job description We are offering a 48-month PhD position (full time, 1.0 FTE) within the field of modern
-
PhD Social tipping points and individual consumer choices (1.0 FTE) (V24.0328) « Back to the overview Job description The project is part of the Horizon TealHelix consortium. The goal
-
Within the Chair Group of Economic and Social History, Faculty of Arts at the University of Groningen, the Netherlands, a fully funded PhD position is currently available. The position will be
-
PhD Social-historical Analysis of Regional Depopulation and Community Welfare in the Netherlands (V24.0314) « Back to the overview Job description Within the Chair Group of Economic and Social
-
into the process of star formation in interstellar clouds, in particular the effect of feedback from young stars on their birth environment. Funding is now available for a PhD candidate to analyze the GUSTO data