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system modelling framework (utilising SysML) that effectively represents human-machine teaming in uncertain environments. This research will employ a systematic approach to refine the representation
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concern, especially in unexplored environments characterized by uncertainty. These PhD positions offer an unparalleled opportunity to advance real-time trustworthy autonomous systems. Collaboration with
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PhD fellowship (e.g., FWO) A versatile and challenging academic position with very diverse contacts in a world-class research environment operating at an international level, and various opportunities
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to develop new deep learning methods for audio-visual scene analysis in a smart home environment. This will involve the use of heterogeneous sensors, e.g. microphones and cameras, for analysing various sources
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in a relevant field and ability to lead a small team of PhD students What we offer A highly interdisciplinary and collaborative, team-oriented research environment. You will be integrated into a
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-based solutions (NbS) for water and wastewater treatment. The research will explore sustainable engineering strategies to boost their performance to deliver benefits for the environment and society. The
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This project has a start date of October 2024. There is a growing body of research describing the benefits of exposure to natural environments for human physiology and psychology. Nature, therefore
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environment of the cell. Job description You will be developing a platform for the detection of protein production and secretion in single cells. An example of application is to study antibody secretion in
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skills. Working in a top-level research environment, the candidate will have a unique opportunity to develop her/his research abilities. Workplace Workplace We offer ETH Zurich is a family-friendly
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biodegradable materials that are slow to degrade in composting facilities (and in the environment). To address this, we will work with state-of -the-art biodegradable polymers alongside an industrial collaborator