-
of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
-
June 2026 (although funding is in place for a six-month extension). The successful candidate will join a multidisciplinary team in Mechanical Engineering and Civil and Environmental Engineering, and will
-
. The successful candidate will join a large and diverse group of researchers covering nuclear structure physics, nuclear astrophysics, applications of nuclear physics and nuclear theory. The candidate's programme
-
programme This project focuses on the application of digital health technology to study the contribution of sleep and circadian disturbance to brain function, neuropsychiatric symptoms and behaviour in people
-
language data taken from multiple sources: ongoing fieldwork, previous studies, text corpora and newly-generated reconstructions, as well as well as the results of computational simulations and artificial