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workflows, but also by helping to reimagine digital editions beyond the constraints of print-based models. In particular, it researches and analyses how computational and AI-driven methods, including but not
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Adopter programmes, where appropriate. We are looking for an enthusiastic, motivated graduate in (health) Data Science, Computer Science or related field who is interested in the deployment, user acceptance
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an exciting opportunity to lead high quality research and development in device design, fabrication and test in collaboration with leading researchers and industry. Working within a state-of-the-art
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Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
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contexts. The project will build on both consolidated knowledge in the history of technologies, and the most recent literature on the perception of digital and computer-assisted creative outputs
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thus lead to poor plant performance and high pollutant emissions. This project aims to investigate the unique characteristics of combustion of very low volatile content coals using cutting edge
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together with a dynamic and friendly team of researchers across two different laboratories including cell biologists, biophysicists and computational experts. This project will give you the opportunity
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proteomics approaches and a variety of imaging techniques, including high-throughput, confocal and live cell imaging. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd
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Institute (DHI) Established in 1994, the DHI’s mission is to support the innovative use of technology and computation within arts, humanities and heritage research as both a method of inquiry and a means of
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workforce training, and computer-integrated systems, has become the primary pathway for transforming and upgrading manufacturing industry in the coming decades. Real time monitoring of cutting tool conditions