11 computer-science-programming-languages-"Aarhus-University" Fellowship positions at University of Surrey in United Kingdom
Sort by
Refine Your Search
-
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
-
. Previous experience of sign language recognition and translation would be advantageous would experience of supervising research. They should have good analytical and programming skills and experience
-
opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
-
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
-
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
-
-delivered defibrillators during out-of-hospital cardiac arrests. This is a unique opportunity to be involved in an exciting NIHR-funded study that brings together cutting-edge technology, emergency care, and
-
, automotive, electrical/electronic engineering or computer science. Also, experience in the following areas is highly desirable: Control development and implementation, including neural networks Instrumentation
-
The School of Health Sciences is seeking a Research Fellow to work on an NIHR Health Services and Delivery Research funded project to undertake a realist review of evidence into what works to
-
you You should have a PhD (or be close to completing a PhD) in a relevant social science discipline or have equivalent relevant professional experience. You should have experience of using qualitative