Sort by
Refine Your Search
-
Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
-
without shortages. The project will explore the use of historical demand and supply data, along with auxiliary information, within a Predict-then-Optimize (PtO) framework. This PtO framework will leverage
-
, socioeconomic context, and health data to understand, predict and prevent cardiovascular, neurovascular and other non-communicable diseases (NCDs) in the Brussels Capital Region. Research Context Urban
-
to understand, predict and prevent cardiovascular, neurovascular and other non-communicable diseases (NCDs) in the Brussels Capital Region. Research Context Urban populations are exposed to a complex mixture of
-
) to Volumetric Arc Therapy (VMAT), Stereotactic Radiosurgery (SRS), and ultra-high dose-rate (UHDR-FLASH) therapy, the need for real-time control and verification becomes critical. This PhD will further develop