Sort by
Refine Your Search
-
is to move beyond traditional “check-after” approaches and instead predict and prevent errors while the radiotherapy treatment is being delivered. The candidate will build upon this existing prototype
-
, with advanced imaging data from clinical PET and SPECT scans. By predicting patient-specific time–activity curves and benchmarking micro-scale dosimetry against conventional approaches, the project will
-
repurposed into remediation tools. Experimental data will be integrated into a simplified first order soil–vegetation–atmosphere (SVAT) model, a “box” model, enabling the prediction of radionuclide
-
of fuel temperature during irradiation is virtually impossible and thermal conductivity is a difficult-to-access material property. As a result, only very limited data is available to predict the evolution
-
the population-level risk score into individualized preclinical disease prediction. VUB-UZ Brussel leads clinical and methodological development for environmental risk modelling and validation, while VUB-ETRO
-
monitoring will also be integrated into this PhD. Thermal prediction models are currently implemented on a Field Programmable Gate Array (FPGA), while the thermal PI controller (which will be further developed
-
without reliance on vision. The work will combine auditory perception models, predictive processing and flight control, validated through simulation and experimental flight tests on an embedded GPU platform
-
characterize the observable explosion and implosion signatures of stars that have interacted in a binary star system. You will become an expert in predicting the observable supernova explosion properties (e.g
-
Reference Number BAP-2025-702 Is the Job related to staff position within a Research Infrastructure? No Offer Description To reliably use simulation-generated predictions in science and engineering, one needs
-
approaches to enhance prediction and complement traditional epidemiological models. Interdisciplinary coordination: Liaising between clinical and technical teams to ensure data quality, interoperability, and