Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
the accuracy and speed of these simulations, automating the workflows, and validating the models against real experimental data, the project aims to accelerate the development of cleaner, more efficient
-
might just be what you are looking for. This PhD position is embedded in the large-scale transdisciplinary project Re-Ge-NL focused on accelerating the transition to a regenerative, remunerative and
-
industrial and medical applications. More information can be found via: https://www.maastrichtuniversity.nl/research/institutes/amibm/research/biobased-polymers About Research Group Sustainable Polymer
-
biomedical materials, tissue engineering, and industrial and medical applications. More information can be found via: https://www.maastrichtuniversity.nl/research/institutes/amibm/research/biobased-polymers
-
Planning How can heterogeneous energy data be shared securely and efficiently to accelerate the heat transition? The transition to sustainable heating requires close collaboration between municipalities
-
, and these muons carry information about particle interactions at energies far beyond the reach of any accelerator on Earth. In this project you will turn that signal into cosmic-ray physics: measuring
-
academia to develop innovative solutions for societal challenges. The Department of Circularity and Sustainability Impacts (Utrecht) focuses on accelerating the shift toward a circular economy by assessing
-
, enabling more frequent, scalable, and data-driven asset management. The project will investigate the integration of Axle Box Acceleration (ABA), Laser Doppler Vibrometry (LDV), and Track Geometry (TG) data
-
measurement system (e.g., based on Axle Box Acceleration (ABA) or Laser Doppler Vibrometry (LDV)) will be designed and implemented to collect additional data for incorporation into the Health Passport. Advanced
-
enabled pathway for high value secondary metabolites. By generating and integrating multi-omics, imaging and process datasets, the project will enable AI to (i) accelerate callus line development through