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week industry visit. - The Chancellor Masters and Scholars of The University of Cambridge (UCAM), 1 month, learning different culture models. - Universitá degli Studi di Torino (UNITO), 1 month
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selectivity is the first important barrier to overcome in order to perform quantitative analyses for each pollutant and avoid ionic interference between the different sensors used in the project. Sensor
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-user feedback on functionality. The different sub-models will be integrated and validated based on data from the use cases and experiments. Your Working Environment You will be appointed to the Section
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to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
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that infect bacteria, can hitchhike along with nematodes to overcome spatial barriers in their environment. Our team aims to build a model system to understand these newly discovered nematode-phage interactions
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provided by the EUROfusion Horizon Europe consortium, which offers access to a large collaborative network and European EURATOM funding. To model the behavior of hydrogen in materials, we use electronic
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more about the different phases within the PhD trajectory? You can read more about this on this page . You will work on a challenging project that explores the impact of genetic mutations in various
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of physics into machine learning and deep learning architectures to create accurate, physically consistent, efficient and interpretable/generalizable models. This PhD project will contribute to the development
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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
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. Foreseen challenges include data harmonization, key relationship extraction, scalability, metadata structuring, predictive modeling, and data quality assurance. The research will integrate structured and