Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
platform that industrial engineers can use to optimize forming processes. Publish your findings in peer-reviewed journals and present them at international conferences. Collaborate closely with experts
-
Benefits Two-year fulltime EngD position, where scientific and research domains are combined optimally with education and practical implementation of innovative design. Full status as an employee at the UT
-
industrial contexts; investigate optimal levels within the product structure for deploying AM in repair and spare parts support; integrate forward and reverse flows in manufacturing and maintenance
-
models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning models combining CT imaging and clinical data, trained on the unique
-
, real-time traffic management, and the optimization and maintenance of traffic and transport systems. AI can also offer travellers opportunities for better travel planning and travel experiences by mobile
-
a manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool
-
leverage assets such as grid-level battery storage, and electrolyzers to have more flexibility when making trading decisions. The challenge then is how to optimally leverage such an asset to make viable
-
-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning