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devices—such as wearable sensors, assistive robotics, or implantable systems—where real-time performance, energy efficiency, and reliability are critical. Unlike traditional NAS approaches that are hardware
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situations where multitasking is possible and efficient. Within this project, the PhD student will mainly investigate how neural indices of cognitive control are impacted by different types of multitasking in
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developability assessment tools such as aggrescan, AbImmPred etc. - Strong knowledge of different machine learning architectures and training techniques is essential. - Proficiency with programming in Python and
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, combining street-level information, citizen-generated data, and spatial analyses to assess how visible, accessible and equitably distributed different kinds of green spaces are. A key part of your work will