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the FAIRification of omics data and databases interoperability and develop knowledge graphs for data-driven decision-making to rationally design microbial communities for imparting desirable characteristics to plant
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doctoral network, this PhD position aims (i) to investigate the effect of spatial scale on road safety monitoring and crash prediction, (ii) to develop a new state-of-the-art AI framework to observe and
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in person or teleconference. In case of titles and qualifications awarded by foreign Higher Education Institutions, the provisions of the Law 55/2023 (article 36) and 4957/2022 (article 304
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network-level evaluations. It will develop new AI algorithms for road attribute collection, along with methodologies to assess and quantify their accuracies, suitable for network applications and including
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(universities, industry, and non-governmental organizations). The project aims to develop a new framework for the integration of AI in road safety and train a new generation of leading researchers in the field
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for this project, is seeking highly motivated and qualified PhD candidate, starting June 2024. The successful candidate will work closely with a multidisciplinary team of researchers and industry partners to develop
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, contribute towards the broad dissemination of science and develop skills related to presentations, grant-applications and scientific papers writing. About the project: The project capitalizes on recent