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the Department of Computer Science at Aalto University in Finland. You will be joining a larger group of researchers working on similar topics. The department has a strong community on related topics: research
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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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and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Coordinate procurement and liaison with vendors/suppliers. Participate in computer science
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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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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measurement in construction. The skills, qualifications and experience required to perform the role are: Hold (or be close to obtaining) a PhD in Computer Science, Civil Engineering, Data Science, Information
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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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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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About the role We are seeking a full-time Postdoctoral Researcher to join the Oxford Secure and Advanced Computer Architecture Research (OSCAR) group at the Department of Engineering Science
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Role: Research Assistant - SEUPB TRACE Department: Global Business & Enterprise, School of Computing, Engineering, and Intelligent Systems Grade: 6 (£33,020) Responsible to: Principal Investigator