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covers a colleague's parental leave, and is therefore limited to the colleague's actual period of leave. About the team: Your future position is in the Research Group Software Architecture at the Faculty
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Full time, Fixed-term contract for 30 months, tenable immediately to end before 31st May 2028 Potential to under fill at grade 06RS: £34,982-£40,855 per annum inclusive of Oxford University weighting The Department of Computer Science seeks to employ a postdoctoral researcher to work on a new...
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Postdoctoral Research Associate on Architectures for LLM-based agents Full time, Fixed-term contract for 30 months, tenable immediately to end before 31 May 2028 Grade 07RS: £38,674-£46,913 per
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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. Our empirical research focuses on corporate headquarters and museums. One of our current case studies is the upcoming Museum of Architecture and Design in Helsinki, which aims to “redesign the world
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. About you The successful candidate will contribute to cutting-edge theoretical research in topics including (but not limited to): Quantum architectures, compilation, and scalable quantum systems Quantum
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, architecture, and objects of Islamic art and the early historiography of Islamic art. Current research explores Arabic, Persian, and Turkish art and architecture of the Middle Ages and modern times in
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will contribute to cutting-edge theoretical research in topics including (but not limited to): • Quantum architectures, compilation, and scalable quantum systems • Quantum error correction
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the control and stability of quantum operations. Using advanced Multiphysics simulation tools, the researcher will create models of the physical and control architecture, enabling the identification of design
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architectures to enable near real-time 3D reconstruction from 2D ultrasound video. The post-holder will contribute to cutting-edge research at the intersection of deep learning, computer vision, and biomedical