29 postdoc-in-distributed-systems-and-controls PhD positions at University of Twente in Netherlands
Sort by
Refine Your Search
-
of their high sensitivity, low pressure drop, and relatively straightforward operating principle. However, their response is dependent on the properties of the fluid, especially the thermal conductivity and heat
-
Vacancies PhD position on Smart Materials for Information Processing Key takeaways This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in
-
of the procedure and improve clinical outcomes, the goal of this research project is to develop methods for modeling and controlling a range soft/flexible surgical devices and medical microrobots, as they interact
-
Vacancies PhD position VIA PRUDENTI - Collaborative Infrastructure and Asset Management Practices Key takeaways Society is facing major challenges like labour and material scarcity, digitalisation
-
Vacancies PhD position: Measurement concept for fatigue condition assessment Key takeaways Remanufacturing of steel products, in particular bearings, is a promising method to make more efficient use
-
/), multidisciplinary expertise is combined to support decisions on health innovation development, evaluation, optimization, and implementation. Research focuses on quantitative analyses supporting strategies to improve
-
to collectively explore urban futures? This position is hosted by the Faculty of Geo-Information Sciences and Earth Observation (ITC) within the Sector Plan Beta II program’s focus area on Spatial Dynamics, which
-
. Ensuring timely and consistent access to medical test results is crucial for improving the efficiency of healthcare providers. For example, doctors need to know when test results will be available to plan
-
PhD researcher you will work within a multidisciplinary project which unites expertise from various fields, aiming to improve the quality of life for people in need of organ replacement. It is therefore
-
ecological monitoring of invasive species. You will explore how Explainable AI (XAI) methods can efficiently interpret geospatial models' behaviour. The central aim is to explore how such techniques can