135 postdoctoral-image-processing-in-computer-science-"EPIC" positions at UNIVERSITY OF SURREY
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30 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 4 Sep
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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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the School Teaching Team of dynamic, collegiate and highly skilled computer scientists. The position aims to provide excellent teaching delivery and assessment in all areas of the computer science and
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individually, make a real difference. The role A great opportunity for a Programme Administrator to join the University of Surrey within Academic Registry. The role involves providing professional administrative
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, manufacturing specialised components, and maintaining the seamless operation of the faculty's engineering workshops. You will play a pivotal role in the hands-on education of undergraduate students, providing
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areas. Computational Pharmaceutical Sciences, including molecular docking Separation Sciences, for small- and large-scale pharmaceutical and chemical engineering applications Pharmacology
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will also be expected to contribute to teaching in at least one of these areas. Computational Pharmaceutical Sciences, including molecular docking Separation Sciences, for small- and large-scale
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Birgitta Gatersleben at Surrey and Dr Ethny Childs from the institute of environmental sciences (IES | www.the-ies.org ). It is funded by ESRC and part of the ACCESS program (ACCESS | Home What is ACCESS
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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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. This is an exciting opportunity to become part of a comprehensive interdisciplinary research programme This project focuses on the application of digital health technology to study the contribution of sleep