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, data science, and industrial applications. As part of this position, you will: Develop and implement advanced Machine Learning models to analyze large datasets, including image and time-series data
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from various sources (e.g., maps, texts, images) within a multi-modality framework. Registering historical maps from different times by leveraging advanced deep learning approaches. Building spatial
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. We have a co-working, ideation, and event space and offer coaching. In addition, we have a greatly equipped Makerspace that gives students access to the tools and equipment they need to prototype. We
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would explore novel solutions, which may include but are not limited to e-textiles for movement tracking, for ultrasound imaging, e-textile-based photoplethysmography (PPG) sensing or e-textile for multi
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100%, Zurich, fixed-term The Seismic imaging and Interferometry group at SED has an open position for a PhD student in passive seismic interferometry. At the interface of seismology, hydrogeology
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) photogrammetry, supplemented by laser scanning where necessary. You import the digital surveys into suitable software for image segmentation for single-stone recognition, generating high-resolution orthophotos
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to prototype. On the other hand, we support project teams with personal coaching, workshops, and a diverse expert network. We want to accompany students on their journey by inspiring them to get started, to seek
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-Informed Synthesis and Machine Learning for Medical Imaging 100%, Zurich, fixed-term 19.05.2025 | Insitute for Biomedical Engineering Umweltingenieur:in für Lehre im Labor und