-
surveillance) sensors can also be seen as temporal events. While data from current sensors can be manually converted into events for fast processing, it is also possible to develop hybrid structures where some
-
-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
-
, to delineate tissue types (bone/flesh/adhesives/other). Practical translational demonstration, TRL advancement, and system integration of the photonic techniques is the project deliverable, for commercial and
-
-Watt have a long–standing track record in researching ground-breaking single photon detection and applications in quantum communications and single-photon imaging. With single-photon avalanche diode
-
, https://lupo-lab.com ) seeks a talented and motivated scientist to drive a research programme in advanced ultrafast nonlinear optics and attosecond-resolution ultrafast spectroscopy. The goal
-
-play methods and diffusion models, or specific applications such as Very Long Baseline Interferometry and black hole imaging in astronomy, or low-field magnetic resonance imaging in medicine, is of