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Field
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science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact of artificial intelligence on society, as well as broader questions surrounding
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-disciplinary research involving the use of mouse models, human tissue and blood samples. Use biochemical, cellular, molecular, and pharmacological approaches to for mechanistic studies. Use cutting-edge
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, Interoperable) principles Build and extend tools that validate datasets, and check whether they meet AI-readiness requirements. Help automate dataset preparation using reporting format templates and structured
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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organoids. Candidate FDA approved drugs will be tested using organoid systems and animal models of infection. The initial focus will be on RVFV, but may be extended to other emerging viruses. The research
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. In complementary studies, we are investigating antigen-specific responses and mucosal tolerance using multiple different in vivo and in vitro models and human samples. Candidates with backgrounds in
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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PET resins and develop simple models through conventional statistical analysis methods to be able to screen PCR PET resin material to enable its use in industrial packaging applications. In
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mainly be connected to DRIVE PR, but may also be linked to related projects within data-driven product realisation, digital engineering, systems engineering, geometry assurance, automation, or model-based
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cutting-edge research on structural vibrations, contact mechanics, wave propagation, and robot mechanics, from advanced modelling and simulation to large-scale experiments. In close collaboration with