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are highly motivated to learn and apply modern simulation and optimization techniques and work in a dynamic environment with other doctoral students and postdocs. The ability to work independently and
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, develop methods to speed up this development by focusing on machine learning techniques to address sustainability challenges in chemistry research. We will explore novel pathways to process design and
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, or machine learning/data science applied to environmental problems. Project background Successful participants could use coupled global (CMIP) simulations, design and set up new model experiments using CESM2
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our state-of-the-art behavior analysis pipelines based on the latest developments in artificial intelligence and machine learning. You will train and guide collaborators during experimental design and
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. Applications include sport and health. The candidate is to teach subjects related to biosignal processing. Project background Your research will aim to conceive and design innovative solutions for monitoring
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health-monitoring wearable devices, then please apply. The research will be highly collaborative; you should be eager to learn new science and technologies as well as contribute to the group through
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interdisciplinary research to promote innovation, research translation, and increase impact. The facility houses rapid prototyping machines, exoskeletons, instrumented treadmills, two MRI systems, two CT scan
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| Automatic Control Laboratory, Department of Information Technology and Electrical Engineering PhD Position in Machine Learning Seismology 100%, Zurich, fixed-term 02.05.2024