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Field
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of reliable and robust deep learning methods with clinical impact. The project is highly interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners
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deep learning methods with clinical impact. The project is highly interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners. Where to apply Website
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for CO2 emissions set forth, alternative, low-carbon emission approaches to existing manufacturing processes for base chemicals are required. This necessitates re-invention of processes that are in use
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involved in the innovation and application of methodologies and technologies in the following fields: model-based engineering; modelling and simulation; visualisation by means of augmented reality, virtual
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this project we are going to guide several schools in making the transition towards more customized education enabled by efficient and effective logistics processes. We will work with the schools in a design
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the north-south climate gradient in Europe, and link your findings of vegetation patterns to potential future shifts driven by climate change. You will design and implement field trials to assess the effects
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-molecule transport and measure the NPC nanoscale structure using TEM, AFM, FRET, DIB, MINFLUX, etc. We study purified yeast NPCs as well as design the amino-acid sequence of the IDPs and TRs de novo from
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-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
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Correlated Electron systems group (ICE) focuses on materials and interfaces with unconventional electronic properties, especially related to interactions between the mobile charge carriers. The research is
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the specified project, as described above. Interact with the PhD student Disseminate your research findings through publications in academic journals and through presentations at international conferences