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will contribute to the development and demonstration of building and urban digital twins through federated and distributed data management approaches such as dataspaces. You will be part of an EC Horizon
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) programme. The international, interdisciplinary, and cross-sectoral network gathers together leading experts in basic and applied soft matter and food sciences to train a new generation of young researchers
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quantitative methods, prevention science and intervention studies. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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will fund tuition fees (home fees only) for a maximum of five years during employment on the project. More information on the MPhil/PhD Programme can be found here: https://www.lincoln.ac.uk/course
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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well as physiological responses. You will be working with an interdisciplinary team. We welcome applications from people with a broad background in Electrical Engineering and Electronics, Computer Science, and/or
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. A particular focus will be on the soil micro-structure evolution and how this links to macro-scale behaviour, using advanced laboratory tests, imaging techniques, and computer simulations. The
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), including SQL and NoSQL databases, to store and manage data efficiently Cloud Computing and APIs: Experience with cloud computing platforms such as AWS, Google Cloud, or Azure, particularly their AI and
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engineering, embedded systems design, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and / or time series analysis is a
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation