Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
safety margins are often required in structural design, leading to heavier structures, while maintenance intervals may be more conservative than necessary. Developing reliable methods to continuously
-
maintenance intervals may be more conservative than necessary. Developing reliable methods to continuously assess the structural condition therefore enable both lighter designs and more efficient maintenance
-
intervals may be more conservative than necessary. Developing reliable methods to continuously assess the structural condition therefore enable both lighter designs and more efficient maintenance strategies
-
Are you excited about the future of wearable healthcare? Join us to merge microfluidics and contact lens technology, developing smart lenses that enable controlled tear fluid collection and analysis
-
synthetic content reshapes how adolescents develop knowledge. We propose a novel framework that links synthetic content to adolescents’ increased doubt about what can be reliably known (epistemic uncertainty
-
doubt about what can be reliably known (epistemic uncertainty) and their diminishing capacity to form beliefs independently (epistemic agency). Epistemic uncertainty and reduced epistemic agency, in turn
-
. You will focus on how international HTA bodies anticipate it will shape their activities in the coming years. Assessing the extent to which GenAI tools can reliably extract, harmonise, and analyse
-
, yielding solutions that are less sensitive to perturbations and therefore more reliable in practice. Mathematically, this leads to optimization problems with underlying random partial or ordinary
-
experimentation. PhD 2 on electrical and calorimetric efficiency measurement has the primary emphasis of: measurement-system design, sensor characterization, uncertainty analysis, converter testing and calorimeter
-
on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and