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Field
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, and traceability in accordance with the GDPR and the EU AI Act. Integrate predictive virtual biopsy models in distributed environments. Lead pilot experiments and monitor the convergence of federated
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the following work packages: WP2: Urban Digital Twin, Data Services and Security and, more specifically, in the following task: Task 2.1: Common Information Models and Urban Data Spaces The task focuses
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programming model Experience with the SYCL programming model Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently Work in a structured way, set
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, France to complete the project. Objectives The objective of this PhD project is to develop advanced numerical modelling tools to support the digital twins of refractory materials, with the aim
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-of-the-art statistical approaches. Actively communicate results to the developers of predictive models within ReDiLEEP. Disseminate your research through publications in leading international journals and
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greenhouses than constructing detailed CFD models for each location. Key expected innovations in this project are expected to include a hybrid data-driven and model-based predictive control approach that uses
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the SYCL programming model Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently Work in a structured way, set goals and make plans to achieve
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. Desirable experience in AI-assisted image analysis, machine learning, computational modelling, or building predictive models from biological imaging or cell–material interaction datasets. Strong experience in
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emulation, active-comparator new-user designs, self-controlled case series and case-crossover studies, where appropriate. The role will also involve developing and validating clinical risk prediction models
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when using closed, proprietary models, where model weights, training data, and internal representations are inaccessible. The PhD project will therefore investigate how trustworthy agentic AI systems can