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of the system is still insufficiently understood. This project investigates the underlying fluid-structure interaction mechanisms and develops advanced numerical methods for high-fidelity simulation
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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structures. Development of textiles as test instruments. Textile characterisation and studies of actuation. To participate in clinical studies and analyse the outcome through biomarkers, pain estimation scales
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methods, provides the ideal environment for research on programming with formal guarantees — a topic of increasing practical importance. About us The Department of Computer Science and Engineering , a joint
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studies using qualitative, quantitative, and mixed-methods approaches, including surveys, interviews, observations, social network analysis, and analysis of digital trace data. Collaborating with industry
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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research experience in areas such as cybersecurity, AI-supported systems, data-driven security, or closely related fields; has experience in implementing, evaluating, or applying AI/ML-based methods
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science, computer programming or related field with a genuine passion for transport challenges and innovation. This eligibility requirement must be met no later than the time the employment decision is made
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of your thesis. Experience of working with optimisation methods, long-term modelling of the forest landscape and its ecosystem services, as well as computer-based decision support systems in general