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to conduct research on the interaction between large language models, automated science, and innovation. In this context, large language models can serve both as a tool within the research and as the object
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the sensitive relation between the value of these parameters and the elution time of the individual sample compounds. While the current human-reasoning and model-based approaches often fail due
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research team working at the intersection of advanced battery interface design, AI-driven modelling, and multiscale simulation. The project focuses on understanding and engineering solid–solid and solid
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on the modelling of transmission dynamics and risk assessment of mosquito-borne arboviruses with the potential to invade the EU. Addressing this challenge requires an interdisciplinary approach, combining
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groundwater flow models. Current groundwater flow models often exhibit important uncertainties related to input parameters and boundary conditions. Reducing this uncertainty is difficult if these models
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looking for a full-time (100%) doctoral scholarship holder in the field of “Development of a Zebrafish Model of SMAD3-Dependent Thoracic Aortic Aneurysm for In Vivo Drug Screening”. Join us in tackling a
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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gives rise to well‑known effects such as the Doppler shift, it is rarely modelled explicitly. With this research project, we aim to develop novel models and processing approaches for audio signals
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modelling, learning-based reconstruction and classification algorithms, enabling joint optimisation of optics and data processing. We are looking for an excellent PhD candidate in photonics (48-month duration
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friendly mode of transportation, but noise and vibration remain a major environmental challenge for the railway sector. Therefore, a wide range of numerical models have been developed for the prediction