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Field
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multiple robotic platforms. This model would leverage information about the robot morphology, geometry, internal structure, state, control commands, external disturbances, and environmental conditions to
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and Risks in from Increased Loading’. It addresses the question of how to quantify the socio-economic benefits, as well as the risk with respect to reliability of supply, when operating transformers
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while improving long-term performance. The project offers a unique opportunity to gain advanced training in rheological and dynamic mechanical analysis, solid-state NMR, and time-resolved structural
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certain extent. The person should finish the work with a doctoral degree in engineering science. The research will be conducted within the ArcelorMittal Chair of Steel Construction. The project focuses
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wakes reduce the energy production of downstream turbines and can increase structural loading, creating a major challenge for the efficient and reliable operation of large wind farms. A novel approach
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dedicated cleanroom area supports the assembly and integration of flight hardware, ensuring high reliability and adherence to space standards. Adjacent to the electronics lab, the Space Technology Testing
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science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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Background Robotic manipulation has achieved remarkable success in structured industrial environments; however, reliable autonomous manipulation of small, soft, and deformable objects in confined spaces
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fault detection into better maintenance decisions and more reliable operations. You will work in an applied research environment with railway-sector partners. Your immediate leader will be the Head of
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doctorate, contains: As a predoctoral researcher you will conduct experimental and numerical research on the structural behaviour and design of light- and micro-profiled steel roof sheeting, with the primary