19 phd-position-for-fully-funded-reserch-in-computer-vision PhD positions at University of Twente in Netherlands
Sort by
Refine Your Search
-
to shape the future of AI in Dutch manufacturing; Conduct case studies, surveys, scenario analyses, and foresight research to develop decision-support tools for AI adoption; A 4-year fully funded position
-
Vacancies PhD position in Simulation of Thermoplastic Composites Manufacturing for Aerospace Applications Key takeaways The PhD positions Press forming of thermoplastic composites Press forming is a
-
Vacancies PhD Position: Solar-Driven Photovoltaic and Electrochemical Conversion to C–N Key takeaways Join the SUN2CN project and develop next-generation solar-to-X devices that merge photovoltaics
-
Vacancies PhD position “Synthetic Active Matter: Unravelling 3D Real-Space Dynamics” Key takeaways The project focuses on the experimental realization and study of artificial microswimmers
-
Vacancies PhD position on Memristive Smart Materials for Information Processing Key takeaways This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing
-
Vacancies PhD Position in Algorithmic Energy Trading Key takeaways In recent years, the energy sector has undergone changes that have a high impact on the dynamics in power markets. One
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Circularity
-
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description
-
Vacancies PhD position - Green and safe routing for Cyclists Key takeaways The rapid expansion of (peri-)urban areas across Europe presents a serious sustainability challenge. A modal shift towards
-
analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic