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economic implications of AI adoption in the technical industry. This PhD position focuses on the legal challenges technical industry is encountering when adopting AI in its processes. The successful
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such as transportation and heating. These two transformations create a need for sophisticated planning methods and processes that result in actionable plans by proactively considering high-impact forces
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University therefore encourages qualified candidates with disabilities, gaps in their CV, immigrant backgrounds or different life experience to apply. If applicants indicate they have disabilities or gaps in
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for the position. Applicants who do not yet hold a MSc degree, but expect to be awarded one in the near future are also welcome to apply. As the research topic is interdisciplinary, several different
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students of the REUNATECH network. Development and validation of FE models and shaking table experiments for base isolators under different earthquake effects. Optimisation of basic isolation by refining
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with
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project is to investigate the commonalities or the differences between the cues (verbal, prosodic, gestural, textual) that are employed to signal or interpret irony across different modalities in different
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participate in the training and dissemination events of the MSCA Doctoral Network ANT . You will develop signal processing algorithms and protocols for AirComp, and implement and validate them in simulation
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flexible alternative. Thanks to their significant thermal inertia and ultra-low-temperature operation, DHCNs can absorb surplus renewable energy, respond to market signals, alleviate grid stress, and provide
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and utility systems necessary for their operation (e.g., electrical, water, telecom., transport networks); perform an integrated multi-hazard fragility and vulnerability analysis of CI using different