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with good employment conditions. More information about the department is available at: Department of Computing Science . Project description Machine learning is a key technique in many research and
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documentation such as: certified copy of admission to a PhD programme programme summary of approximately one A4 sized sheet including information about your PhD project, topic, method, theoretical approach, and
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have excellent career prospects both in and outside of academia. Our Career Service and our Teaching Centre offer comprehensive support, complemented by our alumnae and alumni network. For information
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, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
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support systems, specifically simulation games and geospatial digital twins. These systems use detailed representations of a real-world environment and its processes by linking to a myriad of data and
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candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning
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properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments
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with another PhD student at UCLouvain. The PhD candidate will carry out academic research in the fields of urban mobility and foresight. In particular, he/she will: collect and analyze qualitative data
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date 1 October 2026 Additional Funding Information This PhD project is funded for four years by Big C with a contribution of £50,000 supported by the John & Pamela Salter Charitable Trust. Funding
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your people. Next 1 2 3 Real-Time Data 📡 From pioneering research to community moments, here's what’s happening now. Previous Applied physics in action! Our international summer interns took to the mini