-
large datasets and developing experimental techniques, including the use of artificial intelligence. There are also opportunities to be involved in the development and testing of new hardware for the next
-
nanomaterials" (with Prof Nikhil Medhekar) "Ultrafast charge dynamics in photoactive materials" "Artificial-intelligence-controlled atom-by-atom synthesis of functional organic nanomaterials" web page For further
-
projects that involve data analysis, the application of artificial intelligence, the development of new detection techniques, and the exploration of new experimental methods through collaboration with our
-
. The candidate will work within a multidisciplinary team comprising experts in GPCR biology, computational pharmacology, artificial intelligence, and neurovascular in vivo models. The applicant will have access
-
challenging for clinicians and pregnant women. Digital health records, advances in big data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up