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, collaboration, and effective teamwork between human workers and AI agents. The research will employ Participatory Design (PD) approach, emphasizing a democratic approach to technology design. This will require
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for downstream tasks. In this project, you will develop novel unsupervised machine learning methods to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a
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in device behaviour will be explored to minimize false positives Scalability and Real-world Deployment: This research project will address the scalability of the proposed detection system to handle a
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
, generating tangible impact to improve emission reduction and polymer waste management in the UK. This PhD project seeks to build on successful proof-of-concept research on sustainable polymer biodegradation
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three overlapping phases, the project asks how taxonomies of practice, or scores, can be developed through engagement with a material archive (video and photographic documentation, digitised director
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physics of isotopes, and novel analytical methods and technologies. Essential Job Duties Collaborate with Principal Investigator(s) to determine direction of research projects in the fundamental and applied
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electronics research. This project will be conducted within Cranfield’s Integrated Vehicle Health Management (IVHM) Centre, established in 2008 in collaboration with industry leaders such as Boeing, Rolls-Royce
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We are seeking a highly motivated researcher to conduct research in modelling and monitoring forest growth. About the position The projects focus on developing models for forest types and tree
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Project. This project supports a larger research program aimed at improving literacy and mental health outcomes in young people through individualised care, school-based programs, and digital health
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technologies used in and connected to grids (e.g., distributed generation, storage, electric vehicles, heat pumps, smart energy management systems, etc.) and how to design grid tariffs that align grid and market