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Field
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and evaluation of human-machine interactions as well as the design of complex socio-technical systems. The Automated Driving Research Group addresses topics related to the interaction between users and
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and ergonomic specifications to an ambitious, multipurpose concept – where a responsive network is shaped by the complexities of rapid urban change, population growth, housing stress and social
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scientists and has a large international network of collaborators. We seek committed candidates that can work focused and independently but that flourish in an international team having a strong, synergetic
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bamboo by‑products. Formulate and tune chitosan–lignin complexes for controlled infiltration and bonding within the fibre network. Assess the mechanical, thermal and moisture‑related behaviour
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addition, the dynamics and transport processes across the UTLS adds complexity to unveil the role of UTLS aerosols in cirrus formation and the life cycle of cirrus. Therefore, it is crucial to measure
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analysis, or network-based approaches Prior research on museums, cultural organizations, or cultural policy Fieldwork in Rotterdam (NL) and Manchester (UK) is required; candidates should be willing to spend
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sensors—and analyze the influence of varying environmental conditions on sensor signals and their signal processing. Advance AI-based calibration: You develop approaches to reduce complex and time-consuming
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distinct and demanding failure modes: turbine blades suffer complex aerodynamic loading and leading-edge erosion from high-speed particulate impact, while transition pieces and support structures endure
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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims
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will be part of a leading team in network data science within the Multimedia Computing Group (MMC) in Computer Science. We share a drive to understand and optimize complex systems ranging from social