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the School of Computing and support their ambitious plans for growth and development. Working within Technology Operations in the University’s IT department, you will be responsible for coordinating and
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on the Reece Foundation funded project “Cleaning up the Ouseburn”, within the School of Engineering . We are looking for an enthusiastic and skilled technician to join in a new project to conduct fieldwork
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LLM Models and Artificial Intelligence systems. Candidates should have a Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, Statistics
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this study we are going to apply cutting-edge technology to obtain new biomarkers that can be used to minor disease progression in muscle dystrophies as well as characterize the biological and molecular
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MSc or PhD in Structural Mechanics, Material Science, Mechanical Engineering, or a related discipline. Benefits: • Develop managerial skills and attend two residential managerial workshops (each
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engagement across student recruitment, business, research and partnerships areas. You will be working with a wide range of technology, with significant proven experience as a JavaScript/Front-End Developer
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science, or software engineering Proven experience with AI methods, including machine learning, data mining, and natural language processing Strong proficiency in Python programming Strong background in data management
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is all combinable and has trials integrated into the system. The farm operates modern equipment using precision technology which is used for commercial farming as well as providing data for research
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capacity to engage with the impact of the latest developments in technology (AI, big data) on teaching and learning in our field. The School of History, Classics and Archaeology expects all colleagues
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knowledge of media and journalism technology and current practice in media and journalism Detailed knowledge of digital media production including recording and editing sound, stills and video Advanced