11 assistant-and-professor-and-computer-and-science-and-data Fellowship research jobs at University of Surrey in Uk
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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
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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
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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
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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
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. Beneficial previous experience could include (but is not limited to): robotics and autonomous systems development, environmental science fieldwork, electronics design, and data science. Knowledge of Python, C
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made to Professor Katriina Whitaker (k.whitaker@surrey.ac.uk ) and Dr Rob Kerrison (r.kerrison@surrey.ac.uk ). Shortlisted candidates will be interviewed on the 3rd September 2025. For more information
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-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
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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
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. 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
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, automotive, electrical/electronic engineering or computer science. Also, experience in the following areas is highly desirable: Control development and implementation, including neural networks Instrumentation