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advantages for manipulation and locomotion, but current control algorithms do not fully exploit their capabilities. Most rely on approximations tailored for rigid systems or require extensive sensing and
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operate safely around humans. They offer unique advantages for manipulation and locomotion, but current control algorithms do not fully exploit their capabilities. Most rely on approximations tailored
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Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter identification and machine learning. The key challenge is striking a balance between, on
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of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With
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health. Most current Geographic Question Answering (GeoQA) tools only return short factual answers, but many real-world questions—like this example—require deeper spatial analysis. In such cases, maps must
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for automotive components, building components, domestic appliances and electrical goods. Besides the improved corrosion resistance, however, these coating alloys generally suffer from a reduced formability and
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the selection procedure. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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possess a doctoral degree at the date of recruitment. Master degree or equivalent in Electrical Engineering, Computer Science, or related field with excellent grades. Sound knowledge of computer hardware
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doctoral degree at the date of recruitment. Master degree or equivalent in Electrical Engineering, Computer Science, or related field with excellent grades. Sound knowledge of computer hardware design and